Marcelo de Carvalho Alves

Universidade Federal de Lavras (UFLA) | UFLA · Departamento de Engenharia

Coffee yield variation in the field can be learned to obtain useful information for coffee management. Machine learning algorithms were evaluated to determine Arabica coffee yield. The Classification and Regression Tree (CART) rpart1SE algorithm used for classification and regression provided crucial nutrient thresholds to obtain high yield and min...

Air temperature, a vital component for the terrestrial environment sustainability, can be used as an indicator and an important factor used in short- and long-term meteorological modeling at different scales. Temperature must be monitored on spatial and temporal scale with high precision. Terrain elevation can be used as the main influence factor d...

Com o crescimento da geração de resíduos sólidos, a questão do lixo urbano se tornou um desafio ambiental que exige atenção e a busca de soluções viáveis. Com a proibição de lixões e aterros controlados, os aterros sanitários se tornaram a destinação final mais utilizada, devido às suas vantagens, como a retenção da emissão de gases de efeito estuf...

Plant diseases occur in all regions of the globe where there are susceptible hosts, aggressive and virulent pathogens, and a favorable environment. We aimed to evaluate potential effects of temperature variation on the monocyclic and polycyclic processes of coffee leaf rust in susceptible Arabica coffee cultivars cultivated in Minas Gerais state, B...

The science of seed pathology has been established since the development and application of standardized methods for assessing seed health to meet the needs of the seed industry and associated regulatory entities. Despite seed health testing being a routine operation in most countries, results of testing often vary from one laboratory to another. W...

This study aimed to develop a warning system platform for coffee rust incidence fifteen days in advance, as well as validating and regionalizing multiple linear regression models based on meteorological variables. The models developed by Pinto were validated in five counties. Experiments were set up in a randomized block design with five treatments...

Pseudomonas syringae pv. garcae, the causal agent of coffee disease bacterial blight, causes losses in nurseries and coffee fields. In this work, the objective was to evaluate integrated bacterial blight management in a coffee (Coffea arabica L.) field based on disease spatial pattern and ecological variables. The coffee field was composed by 85 ge...

Using spectral information, obtained from orbital sensor systems, combined with spectral indices, it's possible to characterize coffee trees conditions with their intrinsic characteristics, which can improve the imaging accuracy and optimize the crop monitoring tasks. However, within center pivot shape, a circular planting orientation is a feature...

Methods for crop phenology detection using time series analysis have provided accurate information for large agricultural areas in shorter processing times, which can be useful for agronomic management and supply chain monitoring. Given the crop dynamics in the Brazilian Cerrado, with alternating crop type plantings, crop successions, and crop rota...

The coffee crop spectral behavior identification throughout its cycle can contribute to its development monitoring under pest incidence. We aim to identify coffee development through time signatures of enhanced vegetation index (EVI), as well as to evaluate the use of seasonal autoregressive integrated moving average (SARIMA) models to identify cof...

Coffee rust (Hemileia vastatrix Berkeley & Broome) is the main coffee disease in Brazil. Coffee rust control is calendar-based and performed by applying chemicals in order to avoid the outburst of disease epidemics. The aim of this work was to identify coffee rust using multispectral orbital sensing through analyses utilising vegetation indices and...

This study used spectral data integrated with the agrometeorological model by Doorenbos and Kassam to estimate soybean grain productivity in the state of Mato Grosso, Brazil. In the developed model, spectral data were used instead of meteorological data and biophysical parameters of the crop. For this purpose, the products of real and potential eva...

Coffee rust (Hemileia vastatrix Berk. & Br.) is one of the most prominent diseases in coffee (Coffea arabica L.) and causes serious damage to the crop. The pathogen incubation period may be long for about 30 days and 10% incidence of rust may result in 3 times more disease few days after the signals of rust appear in the leaves, even in the absence...

Coffee berry necrosis is a fungal disease that, at a high level, significantly affects coffee productivity. With the advent of surface mapping satellites, it was possible to obtain information about the spectral signature of the crop on a time scale pertinent to the monitoring and detection of plant phenological changes. The objective of this paper...

Image processing is currently gaining lots of attention at seed quality labs as well as grain quality labs for being nondestructive, faster, and more objective than traditional seed or grain analysis methods. While seed analysts focus on quality parameters that will ensure vigorous plants, grain analysts focus on parameters related to safety or gra...

The maintenance of riparian forests is considered one of the main vegetative practices for mitigating the degradation of water resources and is mandatory by law. However, in Brazil there is still a progressive and constant decharacterization of these areas. Facing this reality, it is necessary to broaden researches that identify the occurring chang...

Objectives: Human progress is the satisfaction of human needs associated with life quality, social and economic justice. Considering that climate had significant effect on socio-economic behavior of Earth populations, the objective of this work was to evaluate the relationship between human progress and drought sensitivity behavior in Minas Gerais...

Na agricultura de precisão o tratamento diferenciado, dentro de uma mesma área, contribui para a racionalização dos insumos agrícolas. Objetivou-se nesta pesquisa avaliar a dependência espacial e o mapeamento da eficiência do uso de fósforo e potássio em áreas de cultivo de soja. Coletou-se amostras de solo em pontos georreferenciados em quatro tal...

Bacterial blight of coffee caused by Pseudomonas syringae pv. garcae shows great destructive potential in the main coffee producing regions in Brazil and worldwide. Remote sensing technologies can be used as an inexpensive and effective method to identify and monitor the disease. This study evaluated the potential of the Landsat 8 OLI/TIRS multispe...

RESUMO O sensoriamento remoto multiespectral apresenta-se como metodologia confiável e viável para auxiliar o produtor na decisão para melhores práticas de manejo, garantindo uma produção agrícola mais eficiente e sustentável. Objetivou-se, com este trabalho, identificar e mapear o estresse em lavoura cafeeira, causado por variáveis bióticas e abió...

Avaliar a variação temporal da precipitação pluvial é essencial para o planejamento sustentável dos agroecossistemas. Objetivou-se neste trabalho, comparar dados orbitais em relação aos dados in situ de precipitação, no município de Lavras –MG, no intervalo de 01/01/2000 a 31/06/2017. A série histórica dos dados orbitais foi obtida do produto 3B43...

Os índices de vegetação auxiliam no monitoramento de culturas. Porém, séries temporais destes índices estão sujeitas a ruídos que alteram o real valor do pixel. Diante disso, objetivou-se analisar a aplicabilidade da filtragem Savitzky-Golay (SG) em séries temporais Enhanced Vegetation Index (EVI) para analisar a cultura da soja em Campo Verde (MT)...

The objective of this study was to obtain the bathymetry of dam of Funil /MG by the difference of altitudes from orbital data. The methodology was divided into 3 stages: delimitation of the flooded area by the k-means Classification algorithm in LANDSAT 8 OLI; difference of altitude images in the years 2000 and 2011, coming from the SRTM radar and...

The objective of this work was to perform predictions of the NDVI values to determine the phenological profile of a coffee crop using Landsat 7 and 8 images. The study was conducted in a coffee plantation in the southern state of Minas Gerais. We used the Climate Engine virtual library to collect NDVI data, generating a temporal profile with and wi...

The aim of this work was to evaluate the dynamics of the burning process and its effective control within the Environment Preservation Area (EPA) of Pandeiros, northern region of Minas Gerais state. An automatic detection algorithm was developed in LEGAL / SPRING environment, capable of: Perform an overlay analysis between the image data of diagnos...

Recentes pesquisas, com auxílio da tecnologia, têm encontrado resultados satisfatórios visando o manejo adequado das culturas agrícolas. Assim sendo, este estudo procurou avaliar relações espectrais e temporais dos índices normalized difference vegetation index (NDVI) e enhanced vegetation index (EVI) do sensor MODIS com a produtividade de grãos, r...

As recomendações das adubações químicas muitas vezes são realizadas apenas pela média dos atributos do solo, podendo aumentar a variabilidade espaço-temporal desses atributos e, do rendimento das culturas. Assim, o conhecimento dessa variabilidade pode contribuir para a otimização do manejo agrícola, especialmente com a aplicação de técnicas da agr...

In nurseries of coffee tree seedlings (Coffea arabica), there are favorable conditions for bacterial blight epidemics (Pseudomonas syringae pv. garcae). Studying the spatial distribution of diseased plants can help in the adoption of management strategies. Likewise, geostatistics has been applied to shape the spatial distribution and study epidemio...

Brown eye spot is one of the most common and important diseases of coffee in Brazil. Using geostatistics, this study evaluated the spatio-temporal aspects of the disease and how they relate to plant nutrition and soil fertility in plots irrigated by center pivot and drip irrigation. The experiments were conducted in Carmo do Rio Claro City, in sout...

Artificial Neural networks (ANN) were evaluated as tools to describe epidemics of cocoa’s witche's broom and as a potential method to forecast the disease. The ANN were built with data collected in Altamira-PA-Brazil, between January 1986 and December 1987, and were compared by regression analysis. The variables studied were basidiocarp production,...

Advances in satellite imagery and remote sensing have enabled the acquisition of spatial data at several different resolutions. Geographic information systems (GIS) and geostatistics can be used to link geographic data from different sources. This article discusses the need to improve soybean crop detection and yield prediction by linking census da...

Neste trabalho foi realizado um levantamento acerca da cobertura vegetal do solo em uma pequena propriedade rural no município de Lagoa Dourada- MG, com a finalidade de observar a redução nas áreas de vegetação nativa mediante a expansão agrícola e pastoril. Desse modo, foram utilizadas imagens Landsat 8 OLI/TIRS, com resolução espacial de 30 metro...

Information derived from remote sensing can be extremely useful for crop monitoring during the phenological cycle, and is relevant for strategic planning of large-scale agriculture. Among the outstanding sensors used with this purpose, the Moderate Resolution Imaging Spectroradiometer (MODIS), which is aboard the TERRA and AQUA satellites, is the m...

Brown eye spot, caused by Cercospora coffeicola is one of the oldest diseases related to coffee trees. It is estimated that an infected cultivation can lose up to 30% of its productivity. In this context, remote sensoring techniques can be useful to help the farmer to the management the coffee culture. The objective of this study was to analyze the...

The State of Mato Grosso is characterized by soybean cultivation in summer seasons. As the agricultural sector has an important participation in economy, the implementation of monitoring and systematic mapping tools is important for the strategic planning. Facing this demand, the connection of field data, orbital data and geostatistical techniques...

The aim of the present work was to assess the operating performance of mechanical harvesting of the fruit of coffee trees (Coffea arabica L.) with a KTR® Advance harvester using a “neuro-fuzzy” system which considered the variation of the vibration of the rods and the maturation index of the fruit. The evaluations were carried out fortnightly for 7...

This document contributes information to the discussion among various segments of national society on the costs, benefits and means of transitioning to a low greenhouse gas (GHG) emissions society. The work is the result of volunteer efforts of more than 100 authors, including coordinators, authors, contributors and reviewers that belong to the nat...

Foi estudada a variabilidade espacial da altitude obtida por GNSS, ASTER GDEM e SRTM. Foram coletados com receptores Global Navigation Satellite Systems (GNSS) 3.884 dados de altitude, e utilizados para comparação, os dados de altitude dos modelos SRTM e ASTER, extraídos pela técnica do vizinho mais próximo. A análise geoestatística foi feita por m...

RESUMO: A deficiência hídrica do solo por ocasião do plantio e associação de patógenos com sementes podem ocasionar a diminuição da germinação e vigor de um lote de sementes, levando à redução do estande e introdução de doenças no campo. Nesse trabalho utilizou-se sementes de algodoeiro cultivar Deltapine Acala 90 (suscetível a ramulose) e linhagem...

Objetivou-se caracterizar a variabilidade espacial da incidência de Colletotrichum truncatum (Schwein) em sementes colhidas de soja e determinar o melhor modelo e método de semivariograma que represente a incidência de C. truncatum dessas sementes. O experimento foi realizado em condições de campo na safra 2009/10, em 3 parcelas de 9,9 x 10 m, com...

Water deficit soil at planting and association with seed pathogens can cause a decrease in germination and vigor of a seed, leading to a reduction of the stand and the introduction of diseases in the field. In this work we used seeds of cotton cultivar Deltapine Acala 90 (susceptible to ramulosis) and IAC 2226 strain (resistant to ramulosis) to eva...

The determination of the amount of water needed for crops is one of the main parameters for correct irrigation planning. In this context the FAO Penman-Monteith method (FAO-PM) has been recommended as the best for the reference evapotranspiration (ETo) estimates. However it is not always possible to have all the necessary data for its application;...

The objective of the present study was to use the simple cokriging methodology to characterize the spatial variability of Penman–Monteith reference evapotranspiration and Thornthwaite potential evapotranspiration methods based on Moderate Resolution Imaging Spetroradiometer (MODIS) global evapotranspiration products and high-resolution surfaces of...

Geographical information systems and statistics were used to characterize the climatic vulnerability of coffee agroecosystems in Brazil. Average annual mean air temperature, mean air temperature of the coldest month, and moisture index were used to characterize climatic vulnerability for Coffea arabica and Coffea canephora species cultivation based...

This chapter presents general and specific methods for preparing fungi, plant, and seed tissues infected with fungi, and nematodes parasited by fungi using scanning electron microscopy (SEM). Conventional methods with chemical fixation as well as cryofixation are included, with details for subsequent steps of sample preparation to get optimal funga...

The knowledge of the climatic conditions of a region is crucial for its agricultural development. It is also extremely important for understanding the fact that certain cultures have to develop under prevailing temperature and humidity conditions and assist in the adoption of a suitable irrigation technique, as well as its management and operationa...

Spatio-temporal variability in the ionic chemical composition of atmospheric precipitation samples was investigated at twenty-six points in Cuiabá city, Brazil, during three rainfall events from October 2009 to February 2010. All samples were analyzed for pH, electrical conductivity and ions: chloride (Cl−), fluoride (F−), nitrate (NO3−), sulfate (...

The aim of this study was to use geostatistical analysis to evaluate the spatial variation in the detachment force of coffee fruit and coffee yield by variograms and kriging for precision agriculture. This study was conducted at Brejão farm, Três Pontas, Minas Gerais, Brazil. The detachment force of green and mature coffee fruit was measured with a...

Geoinformation techniques were applied to develop predictive models to study the areas of risk to soybean rust (Phakopsora pachyrhizi Sydow) in soybean (Glycine max L.); coffee leaf rust (Hemileia vastatrix Berk & Br) in coffee; and black Sigatoka (Mycosphaerella fijiensis var. difformis) in banana, considering Brazil's climatic characterization an...

The recent and widespread expansion of the pioneer tree species Vochysia divergens Pohl into western Brazil has the potential to significantly alter the structure and function of the Pantanal—a UNESCO World Heritage Site and the World’s largest tropical wetland. Here we assess the seasonal pattern of evapotranspiration (ET) and micrometeorological...