Article

Understanding Agricultural Output in Mozambique

Authors:
To read the full-text of this research, you can request a copy directly from the author.

No full-text available

Request Full-text Paper PDF

To read the full-text of this research,
you can request a copy directly from the author.

ResearchGate has not been able to resolve any citations for this publication.
Article
Full-text available
There is an urgent need for agri-food system transformation to achieve global sustainability goals. Innovations can play a key role in this transformation but often come with both sustainability synergies and trade-offs. One such innovation is agricultural mechanization, which is spreading rapidly in parts of the Global South and is high on the policy agenda in others. The rapid spread of mechanization is fundamentally changing the character of agri-food systems in the Global South, with both positive and negative effects. However, while some of these effects have been well explored, no study so far has systematically reviewed the sustainability synergies and trade-offs associated with mechanization, undermining necessary accompanying research and policy efforts. This review provides an overview of the progress toward mechanization across the Global South, identifies drivers and barriers, assesses sustainability synergies and trade-offs, and discusses options to maximize sustainability outcomes. The review is the first to holistically assess the potentials and risks of agricultural mechanization for the sustainable transformation of agri-food systems in the Global South, taking into account all pillars of sustainability. The review suggests that agricultural mechanization is needed to make agri-food systems more sustainable concerning various economic and social aspects, such as labor productivity, poverty reduction, food security, and health and well-being. However, there are also sustainability risks concerning environmental aspects such as biodiversity loss and land degradation, and economic and social concerns related to lacking inclusiveness and growing inequalities, among others. A wide range of technological and institutional solutions is identified to harness the potential of agricultural mechanization for sustainable agri-food system transformation, while at the same time minimizing the risks. However, more efforts are needed to implement such solutions at scale and ensure that mechanization contributes to agri-food systems that respect all pillars of sustainability.
Chapter
Full-text available
The Green Revolution had profound positive impacts on human welfare and economic development across the developing world. However, its global reach was limited by agroclimatic, infrastructural, social, and political constraints. Regional disparities in poverty reduction, intra-societal inequities, and gender differences in the distribution of benefits persist even in countries that witnessed positive Green Revolution outcomes. This essay synthesizes the lessons learned and the policy redirections needed for a ‘redux’ version of the Green Revolution that enhances food and nutrition security and economic development while minimizing social, environmental, and health tradeoffs.
Article
Full-text available
Spatiotemporally consistent data on global cropland extent is essential for tracking progress towards sustainable food production. In the present study, we present an analysis of global cropland area change for the first two decades of the twenty-first century derived from satellite data time-series. We estimate that, in 2019, the cropland area was 1,244 Mha with a corresponding total annual net primary production (NPP) of 5.5 Pg C year ⁻¹ . From 2003 to 2019, cropland area increased by 9% and cropland NPP by 25%, primarily due to agricultural expansion in Africa and South America. Global cropland expansion accelerated over the past two decades, with a near doubling of the annual expansion rate, most notably in Africa. Half of the new cropland area (49%) replaced natural vegetation and tree cover, indicating a conflict with the sustainability goal of protecting terrestrial ecosystems. From 2003 to 2019, global per-capita cropland area decreased by 10% due to population growth. However, the per-capita annual cropland NPP increased by 3.5% as a result of intensified agricultural land use. The presented global, high-resolution, cropland map time-series supports monitoring of natural land appropriation at the local, national and international levels.
Article
Full-text available
Land cover maps obtained at high spatial and temporal resolutions are necessary to support monitoring and management applications in areas with many smallholder and low-input agricultural systems, as those characteristic in Mozambique. Various regional and global land cover products based on Earth Observation data have been developed and made publicly available but their application in regions characterized by a large variety of agro-systems with a dynamic nature is limited by several constraints. Challenges in the classification of spatially heterogeneous landscapes, as in Mozambique, include the definition of the adequate spatial resolution and data input combinations for accurately mapping land cover. Therefore, several combinations of variables were tested for their suitability as input for random forest ensemble classifier aimed at mapping the spatial dynamics of smallholder agricultural landscape in Vilankulo district in Mozambique. The variables comprised spectral bands from Landsat 7 ETM+ and Landsat 8 OLI/TIRS, vegetation indices and textural features and the classification was performed within the Google Earth Engine cloud computing for the years 2012, 2015, and 2018. The study of three different years aimed at evaluating the temporal dynamics of the landscape, typically characterized by high shifting nature. For the three years, the best performing variables included three selected spectral bands and textural features extracted using a window size of 25. The classification overall accuracy was 0.94 for the year 2012, 0.98 for 2015, and 0.89 for 2018, suggesting that the produced maps are reliable. In addition, the areal statistics of the class classified as agriculture were very similar to the ground truth data as reported by the Serviços Distritais de Actividades Económicas (SDAE), with an average percentage deviation below 10%. When comparing the three years studied, the natural vegetation classes are the predominant covers while the agriculture is the most important cause of land cover changes.
Article
Full-text available
Background Mechanization is a multi-dimensional concept and widely used in agriculture. There is, however, a major difference between the application of mechanization in developed and developing countries The developing countries tend to design their own strategies in food security given the challenges they face in all aspects of their economy including feeding a growing population, reducing poverty, protecting the environment, managing the effects of climate change and fighting malnutrition all which may further contribute to a reduction in economic growth and political instability. The goal of the strategies, with the help of appropriate technologies, is to lead to a sustainable agricultural development and, ultimately, food security. The policy making in each country should be based on its own conditions. This article uses Iran as an example of a developing country and considers the country’s specific climate as well as political and economic conditions to present development-oriented policies for achieving sustainable food security based on agricultural mechanization that may be adaptable to other developing countries. The main objective of this paper is to identify and provide guidelines to the current and future challenges of Iran’s food security, and it argues that for any strategy to succeed in producing a sustainable agricultural production, it will need a proper analysis and a formulation of an appropriate mechanization plan. Methods To achieve the objective of a self-sustaining agricultural mechanization strategy, a SWOT analysis technique was used to identify the strengths, weaknesses, opportunities and threats and help us provide a framework by which policies can be defined. The framework includes internal and external factors that affect the development of agricultural mechanization and seek to provide ideas for agricultural development with the help of mechanization. These factors were then prioritized using the Hierarchical Analysis Method, and based on the obtained results, the final strategies were extracted and prioritized by the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), a multi-criteria decision analysis method. Results and conclusion According to the results, weaknesses and threats were the most important factors. Environmental threats, especially water shortages, economic problems as well as availability of the mechanization fleet and compatibility of the equipment within the country’s agricultural system were identified as the most important factors affecting the agricultural development. In order to achieve sustainable food security, with regards to the identified factors the necessary recommendations and Governmental-support policies in the agricultural sector were presented: 1. reforming the country’s planting pattern according to the climatic conditions considering the relative advantage of agricultural production, 2. modernizing the mechanization fleet; 3. investing in research and development of agriculture and modern knowledge; the production and import of agricultural machinery and modern technologies according to their suitability with the country's conditions and future needs of the country; strengthening of the supply chain and maintenance services.
Article
Full-text available
High-quality and large-scale image composites are increasingly important for a variety of applications. Yet a number of challenges still exist in the generation of composites with certain desirable qualities such as maintaining the spectral relationship between bands, reduced spatial noise, and consistency across scene boundaries so that large mosaics can be generated. We present a new method for generating pixel-based composite mosaics that achieves these goals. The method, based on a high-dimensional statistic called the 'geometric median,' effectively trades a temporal stack of poor quality observations for a single high-quality pixel composite with reduced spatial noise. The method requires no parameters or expert-defined rules. We quantitatively assess its strengths by benchmarking it against two other pixel-based compositing approaches over Tasmania, which is one of the most challenging locations in Australia for obtaining cloud-free imagery.
Article
Full-text available
Africa’s development debate is often cast as “agriculture versus non-agriculture”, with agriculture’s proponents arguing that agricultural growth is more effective at reducing poverty. This “dual economy” perspective overlooks the heterogeneity within and synergies between these two broad sectors. Recent studies decompose agriculture into subsectors and find that agricultural growth led by smallholder farmers is even more effective at reducing poverty than larger-scale estate farms. In contrast, few studies estimate subsectoral growth–poverty linkages for non-agriculture. Yet we strongly expect, for example, that growth led by informal traders or foreign-owned mining companies will have quite different implications for poverty reduction. Different perspectives on what constitutes “non-agriculture” might therefore explain divergent views on its relative importance for poverty reduction. To address this gap in our understanding, we estimate sectoral poverty–growth elasticities using economy-wide models for five African countries. While our estimated elasticities are higher for agriculture than for non-agriculture as a whole, the extent to which this is true varies considerably across nonagricultural subsectors (and across countries). We find that the poverty–growth elasticities for trade and transport services and manufacturing, especially agro-processing, are often close to, and sometimes exceed, agriculture’s. This means that growth led by these nonagricultural subsectors might be as effective as agriculture at reaching the poor. This confirms the need for a more nuanced treatment of non-agriculture in Africa’s policy debate, and may explain conflicting perspectives on agriculture’s role vis-à-vis non-agriculture.
Book
Full-text available
This book explores alternative strategies for attaining policy reform in American agriculture. We trace the evolution of agriculture in the United States from the depression-era origins of modern policy to final emergence of a mostly competitive and wealthy commercial farm sector at eh turn of the twenty-first century. Throughout our analysis, we concentrate on the main forces that have driven changes to agricultural policy. The chapter posted on ResearchGate examines the political economy of the 1996 U.S. farm bill. The full book is available from the publisher (University of Chicago Press) or on Amazon. This book received an award in 2000 for Quality of Communication from the American Agricultural Economics Association.
Chapter
Full-text available
Meeting growing global demand for food, fiber, and biofuel requires robust investment in agricultural research and development (R&D) from both public and private sectors. This study examines global R&D spending by private industry in seven agricultural input sectors, food manufacturing, and biofuel and describes the changing structure of these industries. In 2007 (the latest year for which comprehensive estimates are available), the private sector spent 19.7 billion on food and agricultural research (56 percent in food manufacturing and 44 percent in agricultural input sectors) and accounted for about half of total public and private spending on food and agricultural R&D in high-income countries. In R&D related to biofuel, annual private-sector investments are estimated to have reached 1.47 billion worldwide by 2009. Incentives to invest in R&D are influenced by market structure and other factors. Agricultural input industries have undergone significant structural change over the past two decades, with industry concentration on the rise. A relatively small number of large, multinational firms with global R&D and marketing networks account for most R&D in each input industry. Rising market concentration has not generally been associated with increased R&D investment as a percentage of industry sales.
Article
Full-text available
Following extreme flooding in eastern Australia in 2011, the Australian Government established a programme to improve access to flood information across Australia. As part of this, a project was undertaken to map the extent of surface water across Australia using the multi-decadal archive of Landsat satellite imagery. A water detection algorithm was used based on a decision tree classifier, and a comparison methodology using a logistic regression. This approach provided an understanding of the confidence in the water observations. The results were used to map the presence of surface water across the entire continent from every observation of 27years of satellite imagery. The Water Observation from Space (WOfS) product provides insight into the behaviour of surface water across Australia through time, demonstrating where water is persistent, such as in reservoirs, and where it is ephemeral, such as on floodplains during a flood. In addition the WOfS product is useful for studies of wetland extent, aquatic species behaviour, hydrological models, land surface process modelling and groundwater recharge. This paper describes the WOfS methodology and shows how similar time-series analyses of nationally significant environmental variables might be conducted at the continental scale.
Article
Full-text available
Comprehensive wetland inventories are an essential tool for wetland management, but developing and maintaining an inventory is expensive and technically challenging. Funding for these efforts has also been problematic. Here we describe a large-area application of a semi-automated process used to update a wetland inventory for east-central Minnesota. The original inventory for this area was the product of a labor-intensive, manual photo-interpretation process. The present application incorporated high resolution, multi-spectral imagery from multiple seasons; high resolution elevation data derived from lidar; satellite radar imagery; and other GIS data. Map production combined image segmentation and random forest classification along with aerial photo-interpretation. More than 1000 validation data points were acquired using both independent photo-interpretation as well as field reconnaissance. Overall accuracy for wetland identification was 90 % compared to field data and 93 % compared to photo-interpretation data. Overall accuracy for wetland type was 72 and 78 % compared to field and photo-interpretation data, respectively. By automating the most time consuming part of the image interpretations, initial delineation of boundaries and identification of broad wetland classes, we were able to allow the image interpreters to focus their efforts on the more difficult components, such as the assignment of detailed wetland classes and modifiers.
Article
Full-text available
Rural farmers in Mozambique rely on rain-fed agriculture for food and income, yet they experience high rainfall variability ranging from extreme drought to flooding rainfall from tropical cyclone systems. To explore linkages between rainfall and agriculture, the authors regress changes in annual household per capita agricultural income on reliance on staple food crops, agricultural and demographic characteristics, and rainfall patterns using longitudinal data for rural households for 2002 and 2005. They characterize rainfall patterns by defining nine rainfall zones using the percent of normal rainfall received in each month of three agricultural growing seasons and rainfall from two tropical cyclones that occurred during the study period. Results show that in a period where monthly rainfall seldom occurred in normal amounts, most households experienced decreases in agricultural income. Even after controlling for rainfall patterns, they find that greater household dependency on staple crop agriculture is associated with declining annual agricultural income. They also find that areas affected by both wet and dry rainfall extremes in the first year of the study had decreases in the well-being of rural households when measured two years later. Taken together, their findings suggest that antipoverty policies focused on increasing agricultural income seem likely to fail in countries characterized by highly variable rainfall and exposure to extreme events, particularly when coupled with high levels of poverty and widespread dependence on rain-fed agriculture.
Article
Full-text available
The Burullus Lagoon is one of the most severely impacted water bodies in the Nile Delta. A set of six satellite images acquired between 1973 and 2011 was employed to map the change of the surface area of the Burullus Lagoon in the Nile Delta using the water indices approach. In this paper we applied the non-traditional normalized difference water index (NDWI) and the modified normalized difference water index (MNDWI) to quantify the change in the water body area of the lagoon during the study period. Results showed that the lagoon lost 42.8% of its open water area due to the severe anthropogenic activities, such as the reclaiming of its southern margins for agricultural purposes and the filling caused by the discharge of agricultural wastes. Proper management should be adopted to sustain the vitality of the Burullus wetland ecosystem.
Article
Full-text available
The corporate food regime is presented here as a vector of the project of global development. As such, it expresses not only the social and ecological contradictions of capitalism, but also the world-historical conjuncture in which the deployment of price and credit relations are key mechanisms of ‘accumulation through dispossession.’ The global displacement of peasant cultures of provision by dumping, the supermarket revolution, and conversion of land for agro-exports, incubate ‘food sovereignty’ movements expressing alternative relationships to the land, farming and food.
Article
Full-text available
The Brazilian agro-industrial frontier in Mato Grosso rapidly expanded in total area of mechanized production and in total value of production in the last decade. This article shows the spatial pattern of that expansion from 2000 to 2010, based on novel analyses of satellite imagery. It then explores quantitatively and qualitatively the antecedents and correlates of intensification, the expansion of the area under two crops per year. Double cropping is most likely in areas with access to transportation networks, previous profitable agricultural production, and strong existing ties to national and international commodity markets. The article concludes with an exploration of the relationship between double cropping and socioeconomic development, showing that double cropping is strongly correlated with incomes of all residents of a community and with investments in education. We conclude that double cropping in Mato Grosso is very closely tied to multiple indicators of socioeconomic development.
Article
Full-text available
A detailed retrospective of the Green Revolution, its achievement and limits in terms of agricultural productivity improvement, and its broader impact at social, environmental, and economic levels is provided. Lessons learned and the strategic insights are reviewed as the world is preparing a "redux" version of the Green Revolution with more integrative environmental and social impact combined with agricultural and economic development. Core policy directions for Green Revolution 2.0 that enhance the spread and sustainable adoption of productivity enhancing technologies are specified.
Article
Full-text available
After 20 years of neglect by international donors, agriculture is now again in the headlines because higher food prices are increasing food insecurity and poverty. In the coming years it will be essential to increase food productivity and production in developing countries, especially in Sub-Saharan Africa and with smallholders. This however requires finding viable solutions to a number of complex technical, institutional and policy issues including land markets, research on seeds and inputs; agricultural extension; credit; rural infrastructure; storage; connection to markets; rural nonfarm employment and food price stabilization. This paper reviews what the economic literature has to say on these topics. It discusses in turn the role played by agriculture in the development process and the interactions between agriculture and other economic sectors; the determinants of the Green Revolution and discuss the foundations of agricultural growth; issues of income diversification by farmers; approaches to rural development; and finally issues of international trade policy and food security which are at the root of the crisis in agricultural commodity volatility in the past few years.
Article
Full-text available
Continuing population and consumption growth will mean that the global demand for food will increase for at least another 40 years. Growing competition for land, water, and energy, in addition to the overexploitation of fisheries, will affect our ability to produce food, as will the urgent requirement to reduce the impact of the food system on the environment. The effects of climate change are a further threat. But the world can produce more food and can ensure that it is used more efficiently and equitably. A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.
Article
Cropland mapping in smallholder landscapes is challenged by complex and fragmented landscapes, labor-intensive and unmechanized land management causing high within-field variability, rapid dynamics in shifting cultivation systems, and substantial proportions of short-term fallows. To overcome these challenges, we here present a large-area mapping framework to identify active cropland and short-term fallows in smallholder landscapes for the 2020/2021 growing season at 4.77 m spatial resolution. Our study focuses on Northern Mozambique, an area comprising 381,698 km². The approach is based on Google Earth Engine and time series of PlanetScope mosaics made openly available through Norwaýs International Climate and Forest Initiative (NICFI) data program. We conducted multi-temporal coregistration of the PlanetScope data using seasonal Sentinel-2 base images and derived consistent and gap-free seasonal time series metrics to classify active cropland and short-term fallows. An iterative active learning framework based on Random Forest class probabilities was used for training rare classes and uncertain regions. The map was accurate (area-adjusted overall accuracy 88.6% ± 1.5%), with the main error type being the commission of active cropland. Error-adjusted area estimates of active cropland extent (61,799.5 km² ± 4,252.5 km²) revealed that existing global and regional land cover products tend to under-, or over-estimate active cropland extent, respectively. Short-term fallows occupied 28.9% of the cropland in our reference sample (13% of the mapped cropland), with consolidated agricultural regions showing the highest shares of short-term fallows. Our approach relies on openly available PlanetScope data and cloud-based processing in Google Earth Engine, which minimizes financial constraints and maximizes replicability of the methods. All code and maps were made available for further use.
Article
Floods are causing massive losses of crops and agricultural infrastructures in many regions across the globe. During the 2018/2019 agricultural year, heavy rains from Cyclone Idai caused flooding in Central Mozambique and had the greatest impact on Sofala Province. The main objectives of this study are to map the flooding du-rations, evaluate how long crops survived the floods, and analyse the dynamics of the affected crops and their recovery following various flooding durations using multi-source satellite data. Our results indicate that Otsu method-based flooding mapping provides reliable flood extents and durations with an overall accuracy higher than 90%, which facilitates the assessment of how long crops can survive floods and their recovery progress. Croplands in both Buzi and Tica administrative units were the most severely impacted among all the regions in Sofala Province, with the largest flooded cropland extent at 23,101.1 ha in Buzi on 20 March 2019 and the most prolonged flooding duration of more than 42 days in Tica and Mafambisse. Major summer crops, including maize and rice, could survive when the fields were inundated for up to 12 days, while all crops died when the flooding duration was longer than 24 days. The recovery of surviving crops to pre-flooding status took a much longer time, from approximately 20 days to as long as one month after flooding. The findings presented herein can assist decision making in developing countries or remote regions for flood monitoring, mitigation and damage assessment.
Article
To improve the understanding of current trends in global urbanisation, we have launched the World Settlement Footprint (WSF) suite, a collection of novel datasets aimed at providing accurate, reliable and frequent information on the location and extent of human settlements, as well as on their morphology and built-up density. In this paper, we present three of its products (i.e., the WSF-Evolution, WSF2019 and WSF3D), which are expected to become an asset for national statistical offices, local authorities, academia, civil society, private sector, geospatial information community, as well as international organisations involved in the implementation of the Sustainable Development Goal 11 of the United Nations and the New Urban Agenda.
Article
Identifying the location of irrigated croplands and how they change over time is critical for assessing and managing limited water resources to navigate such challenges as local to global water scarcity, increasing demands for food and energy production, and environmental sustainability. Although efforts have been made to map irrigated area for the U.S., multi-year nationwide maps at field-relevant resolutions are still unavailable; existing products suffer from coarse resolution, uncertain accuracy, and/or limited spatial coverage, especially in the eastern U.S. In this study, we present an approach to map the extent of irrigated croplands across the conterminous U.S. (CONUS) for each year in the period of 1997–2017. To scale nationwide, we developed novel methods to generate training datasets covering both the western and eastern U.S. For the more arid western U.S., we built upon the methods of Xie et al. (2019) and further developed a greenness-based normalization technique to estimate optimal thresholds of crop greenness in any year based on those in USDA NASS census years (i.e., 1997, 2002, 2007, 2012, and 2017). For the relatively humid eastern states, we collected data on the current status of center pivot irrigated and non-irrigated fields and extended these sample points through time using various indices and observational thresholds. We used the generated samples along with remote sensing features and environmental variables to train county-stratified random forest classifiers annually for pixel-level classification of irrigated extent each year and subsequently implemented a logic-based post-classification filtering. The produced Landsat-based Irrigation Dataset (LANID-US) accurately reconstructed NASS irrigation patterns at both the county and state level while also supplying new annual area estimates for intra-epoch years. Nationwide pixel-level locational assessment further demonstrated an overall accuracy above 90% across years. In the 21-year study period, we found several hotspots of irrigation change including significant gains in the U.S. Midwest, the Mississippi River Alluvial Plain, and the East Coast as well as irrigation declines in the central and southern High Plains Aquifer and the southern California Central Valley, Arizona, and Florida. The resulting 30 m resolution LANID-US products represent the finest resolution account of nationwide irrigation use and dynamics across the United States to date. The developed approach, training data, and products are further extendable to other years (either before 1997 or after 2017) for continuous monitoring of irrigated area over CONUS and are spatially applicable to other regions with similar climate and cropping landscapes.
Article
In recent years India is experiencing a rapid economic growth, especially after the 1990s when India started to liberalize its economy in a full scale. However, the author emphasizes the critical importance of the preceded 1980s when Indian agricultural sector registered a high growth rate. The Green Revolution in India started in the late 1960s and with its success India attained food self-sufficiency within a decade. However, this first "wave" of the Green Revolution was largely confined in wheat crop and in northern India such as Punjab, resulting in a limited contribution to overall economic development of the country. On the contrary, the agricultural growth in the 1980s (the second "wave" of the Green Revolution) involved almost all the crops including rice and covered the whole country, it enabled to raise rural income and alleviate rural poverty substantially. Such a rise of rural India as a "market" for non-agricultural products and services was an important pre-requisite for the rapid economic growth based on non-agricultural sectors" development in India after the 1990s. The 1980s was a critical decade for South Asia and Sub-Saharan Africa to make a great divergence in the economic development thereafter. The implication for Sub-Saharan Africa is that raising income in rural areas through productivity growth of the agricultural sector, especially the staple food sector, is essential for the success of modern economic growth through industrialization. As one of the so-called BRICs, India is experiencing a rapid economic development and growth in recent years, especially after the 1990s when India started to liberalize its economy in a full scale. With no doubt, a series of economic liberalization policies implemented after 1991 in India largely contributed to the accelerated growth in the country until the present day. However, this paper will focus more on the role of the Indian agricultural sector in its history of overall economic development process. To mention at first the major conclusion of the paper, we consider that agricultural growth should be preceded the modern economic growth which is based on industrialization. As described later in detail, we emphasize the existence of domestic market for
Article
Satisfying the food demands of an ever-increasing population, preserving the natural resource base, and improving livelihoods are major challenges for South Asia. A large area of land in the Middle and Lower Gangetic Plains of South Asia remains either uncultivated or underused following the rice harvest in the kharif (wet) season. The area includes “rice-fallow,” estimated at 6.7 million ha, flood-prone riversides (“diara lands,” 2.4 million ha), waterlogged areas (4.9 million ha), and salt-affected soils (2.3 million ha). Bringing these lands under production could substantially improve the food supply and enhance livelihoods in the region. This paper describes a methodological case study that targeted resourceconserving technologies in underused lands of the Ballia District of eastern Uttar Pradesh (India) using multispectral remote-sensing images. Classification of temporal satellite data IRS-P6 in combination with Spot VGT 2 permitted the identification of all major categories of underused land during the post-rainy rabi/winter season, with an average accuracy of 89%. Based on three-year averages of field demonstrations, farmers gained an additional income of 63ha1byintroducingraisedbedsinsaltaffectedsoils;63 ha�1 by introducing raised beds in salt-affected soils; 140 and 800ha1byintroducingdeepwaterricevarieties(monsoon)andbororice(winter)inwaterloggedareas;and800 ha�1 by introducing deepwater rice varieties (monsoon) and boro rice (winter) in waterlogged areas; and 581 ha�1 by introducing zero-till lentil (winter) in rain-fed fallow lowland. Timely wheat planting through zero-tillage implies an additional income of 147ha1andcouldincreasewheatproductionby35,000e65,000tonsinthedistrict.Themethodologiesandtechnologiessuggestedinthestudyareapplicabletomorethan15millionhaofunderutilizedlandsoftheIndoGangeticPlainsofSouthAsia.Ifthetechnologiesarepreciselyapplied,theycanresultinmorethan3000millionUS147 ha�1 and could increase wheat production by 35,000e65,000 tons in the district. The methodologies and technologies suggested in the study are applicable to more than 15 million ha of underutilized lands of the Indo-Gangetic Plains of South Asia. If the technologies are precisely applied, they can result in more than 3000 million US of additional income every year to these poverty prone areas.
Article
Leaf area index (LAI) is a key biophysical parameter for the monitoring of agroecosystems. Conventional two-band vegetation indices based on red and near-infrared relationships such as the normalized difference vegetation index (NDVI) are well known to suffer from saturation at moderate-to-high LAI values (3-5). To bypass this saturation effect, in this work a robust alternative has been proposed for the estimation of green LAI over a wide variety of crop types. By using data from European Space Agency (ESA) campaigns SPARC 2003 and 2004 (Barrax, Spain) experimental LAI values over 9 different crop types have been collected while at the same time spaceborne imagery have been acquired using the hyperspectral CHRIS (Compact High Resolution Imaging Spectrometer) sensor onboard PROBA (Project for On-Board Autonomy) satellite. This extensive dataset allowed us to evaluate the optimal band combination through spectral indices based on normalized differences. The best linear correlation against the experimental LAI dataset was obtained by combining the 674 nm and 712 nm wavebands. These wavelengths correspond to the maximal chlorophyll absorption and the red-edge position region, respectively, and are known to be sensitive to the physiological status of the plant. Contrary to the NDVI (r(2): 0.68), the red-edge NDI correlated strongly (r(2): 0.82) with LAI without saturating at larger values. The index has been subsequently validated against field data from the 2009 SEN3EXP campaign (Barrax, Spain) that again spanned a wide variety of crop types. A linear relationship over the full LAI range was confirmed and the regression equation was applied to a CHRIS/PROBA image acquired during the same campaign. A LAI map has been derived with an RMSE accuracy of 0.6. It is concluded that the red-edge spectral index is a powerful alternative for LAI estimation and may provide valuable information for precision agriculture, e.g. when applied to high spatial resolution imagery.
Article
Genetically modified (GM) crops have been used commercially for more than 10 years. Available impact studies of insect-resistant and herbicide-tolerant crops show that these technologies are beneficial to farmers and consumers, producing large aggregate welfare gains as well as positive effects for the environment and human health. The advantages of future applications could even be much bigger. Given a conducive institutional framework, GM crops can contribute significantly to global food security and poverty reduction. Nonetheless, widespread public reservations have led to a complex system of regulations. Overregulation has become a real threat for the further development and use of GM crops. The costs in terms of foregone benefits may be large, especially for developing countries. Economics research has an important role to play in designing efficient regulatory mechanisms and agricultural innovation systems.
Article
Are the agricultural policy reforms embodied in the Uruguay Round consistent with meeting domestic policy objectives such as providing adequate food security, environmental protection and viability of rural areas? This article examines the claim that agriculture deserves more price support and import protection than other sectors because of the non‐marketed externalities and public goods it produces jointly with marketable food and fibre (agriculture’s so‐called ‘multifunctionality’). Do these unrewarded positive externalities exceed the negative externalities from farming by more than the net positive externalities produced by other sectors? To what extent are those farmer‐produced spillovers under‐supplied, and what are the most efficient ways to boost their production to the socially optimal levels? The article concludes that there is little trade‐off required to meet domestic policy objectives on the one hand and agricultural protection reform objectives as embodied in WTO rules on the other.
Article
This review addresses the potential of image-based remote sensing to provide spatially and temporally distributed information for precision crop management (PCM). PCM is an agricultural management system designed to target crop and soil inputs according to within, field requirements to optimize profitability and protect the environment. Progress in. PCM has been hampered by a lack of timely, distributed information on crop and soil conditions. Based on a review of the information requirements of PCM, eight areas were identified in which image-based remote sensing technology could provide information that is currently lacking or inadequate. Recommendations were made for applications with potential for near-term implementation with available remote sensing technology and instrumentation. We found that both aircraft- and satellite-based re-trote sensing could provide valuable information for PCM applications. Images from aircraft-based sensors have a unique role for monitoring seasonally variable crop/soil conditions and for time specific and time-critical crop management; current satellitebased sensors have limited, but important, applications; and upcoming commercial Earth observation satellites may provide the resolution, timeliness, and high quality required for many PCM operations. The current limitations for image-based remote sensing applications are mainly due to sensor attributes, such as restricted spectral range, coarse spatial resolution, slow turnaround time, and inadequate repeat coverage. According to experts in PCM, the potential market for remote sensing products in PCM is good. Future work should be focused on assimilating remotely sensed infonna- tion into existing decision support systems (DSS), and conducting economic and technical analysis of remote sensing applications with season-long pilot projects.
Article
Rapid economic and income growth, urbanization, and globalization are leading to a dramatic shift of Asian diets away from staples and increasingly towards livestock and dairy products, vegetables and fruit, and fats and oils. While the diversification of diets away from the traditional dominance of rice with rising incomes is expected and observed, current food consumption patterns are showing signs of convergence towards a Western diet. The diet transition is characterized by increased consumption of: wheat; temperate fruit and vegetables and high protein and energy dense food. Globalization and the consequent global interconnectedness of the urban middle class, is the driving force behind the convergence of diets. The rapid spread of global supermarket chains and fast food restaurants is reinforcing the above trends.The growing demand for diet diversity cannot be met solely by the traditional food supply chain. It requires the modernisation of the food retail sector, and the vertical integration of the food supply chain, in effect linking the consumers’ plate to the farmers’ plow. As a consequence, Asian agriculture is on an irreversible path leading away from its traditional pre-occupation with cereal crop production, especially rice, towards a production system that is becoming increasingly commercialized and diversified.This paper describes the determinants and trends in the diversification and Westernization of Asian diets. Implications of the evolving demand trends for food supply and retail systems are presented. The paper discusses the prospects for small farmer participation in the emerging food supply system, with a particular emphasis on Asian rice production systems. Finally, the paper considers emerging challenges for food policy, small holder welfare, and agricultural research and development priorities.
Article
Efforts to anticipate how climate change will affect future food availability can benefit from understanding the impacts of changes to date. We found that in the cropping regions and growing seasons of most countries, with the important exception of the United States, temperature trends from 1980 to 2008 exceeded one standard deviation of historic year-to-year variability. Models that link yields of the four largest commodity crops to weather indicate that global maize and wheat production declined by 3.8 and 5.5%, respectively, relative to a counterfactual without climate trends. For soybeans and rice, winners and losers largely balanced out. Climate trends were large enough in some countries to offset a significant portion of the increases in average yields that arose from technology, carbon dioxide fertilization, and other factors.
Article
Incl. bibliographical references, index
Article
Thematic Mapper signal counts in the six reflective bands (i.e., excluding the thermal band) are simulated using field and laboratory spectrometer measurements of a variety of crops, crop conditions, and soil types. The Dave atmospheric model and prelaunch sensor characteristics comprise the other components of the simulation. The simulated data are found to occupy essentially three dimensions, two of which are equivalent to the MSS Tasseled Cap Greennes and Brightness features, and a third which is substantially influenced by the mid-infrared bands of the TM. This new dimension is primarily related to soil characteristics, including soil moisture. The nature and characteristics of each dimension are discussed, as are some of the expected information gains (over MSS data) resulting from the additional dimensionality of the data.
Article
The latest versions of the Global Trade Analysis Project database and the Linkage model of the global economy (projected to 2015) are used to estimate the impact of removing all merchandise trade distortions (including agricultural subsidies). Results suggest that a move to free merchandise trade would increase farm employment, the real value of agricultural output and exports, real returns to farm land and unskilled labor, and real net farm incomes in developing countries. This would occur despite the decline in international terms of trade for some developing countries that are net food importers or are enjoying preferential access to agricultural markets of high-income countries.
Article
Food and agricultural commodity value chains in developing and transition countries have undergone tremendous changes in the past decades. Companies and property rights have been privatized, markets liberalized, and economies integrated into global food systems. The liberalization and privatization initially caused the collapse of state-controlled vertical coordination. More recently, private vertical coordination systems have emerged and are growing rapidly as a response to consumer demand for food quality and safety on the one hand and the farms' production constraints caused by factor market imperfections. In this article we (1) demonstrate the importance of these changes, (2) discuss the implications for efficiency and equity, and (3) provide empirical evidence on the effects in several developing and transition countries. Copyright 2007 International Association of Agricultural Economists.
Public Research Organizations and Agricultural Development in Brazil: How Did Embrapa Get It Right? Poverty Reduction and Economic Management Network
  • P Correa
  • C Schmidt
Correa, P., & Schmidt, C. (2014). Public Research Organizations and Agricultural Development in Brazil: How Did Embrapa Get It Right? Poverty Reduction and Economic Management Network. World Bank
Brazil's Agricultural Production and Its Potential as a Global Supplier
  • Y Calil
  • L Ribeira
Calil, Y., & Ribeira, L. (2019). Brazil's Agricultural Production and Its Potential as a Global Supplier. CHOICES, Vol. 34 (3).
Welcome to Digital Earth Africa (DE Africa)
Digital Earth Africa. (2023). Welcome to Digital Earth Africa (DE Africa). Retrieved March 17, 2023, from https://www.digitalearthafrica.org/.
Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: Methods and Guidance from the Global Forest Observations Initiative (2.0). Food and Agriculture Organization
  • Gfoi
GFOI. (2016). Integration of remote-sensing and ground-based observations for estimation of emissions and removals of greenhouse gases in forests: Methods and Guidance from the Global Forest Observations Initiative (2.0). Food and Agriculture Organization.
The Rockefeller Foundation's Mexican Agriculture Program, 1943-1965
  • B Shubinski
Shubinski, B. (2022). The Rockefeller Foundation's Mexican Agriculture Program, 1943-1965. Rockefeller Archive Center.
Mozambique Economic Update -Getting Agricultural Support Right
  • C L Wiegand
  • A J Richardson
  • D E Escobar
  • A H Gerbermann
Wiegand, C. L., Richardson, A. J., Escobar, D. E., & Gerbermann, A. H. (1991). Vegetation indices in crop assessments. Remote Sensing of Environment, 35(2), 105-119. https://doi.org/10.1016/0034-4257(91)90004-P World Bank. (2022). Mozambique Economic Update -Getting Agricultural Support Right.
Strong but not broadly shared growth. Mozambique poverty assessment (p. 69). Poverty and Equity Global Practice, Africa Region
  • World Bank
World Bank. (2018). Strong but not broadly shared growth. Mozambique poverty assessment (p. 69). Poverty and Equity Global Practice, Africa Region. World Bank Group.
The Great Railroad Revolution: The History of Trains in America
  • Christian Wolmar
Wolmar, Christian. (2012). The Great Railroad Revolution: The History of Trains in America. Public Affairs.
  • D Zanaga
  • R Van De Kerchove
  • W De Keersmaecker
  • N Souverijns
  • C Brockmann
  • R Quast
  • J Wevers
  • A Grosu
  • A Paccini
  • S Vergnaud
  • O Cartus
  • M Santoro
  • S Fritz
  • I Georgieva
  • M Lesiv
  • S Carter
  • M Herold
  • Li
  • Linlin
  • N E Tsendbazar
  • F Ramoino
  • O Arino
Zanaga, D., Van De Kerchove, R., De Keersmaecker, W., Souverijns, N., Brockmann, C., Quast, R., Wevers, J., Grosu, A., Paccini, A., Vergnaud, S., Cartus, O., Santoro, M., Fritz, S., Georgieva, I., Lesiv, M., Carter, S., Herold, M., Li, Linlin, Tsendbazar, N.E., Ramoino, F., Arino, O., 2021. ESA WorldCover 10 m 2020 v100. https://doi.org/10.5281/zenodo.5571936