Ruth Kerry

Ruth Kerry
Brigham Young University - Provo Main Campus | BYU · Department of Geography

PhD

About

89
Publications
20,197
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Publications

Publications (89)
Article
Full-text available
Fields are the original management zones used in agricultural ecosystems. Uniformity of soil within management zones (MZ) is crucial for sustainable soil management, long-term productivity, and avoiding environmental problems. When considering a new area for agricultural expansion or for improving the efficiency of existing agricultural practices,...
Article
With intense human activity causing constant environmental change, there is a greater need than ever to have accurate and frequently updated soil information. Traditional soil maps are large scale polygon maps of soil type and implicitly assume no variation in soil properties within polygons. DSM approaches can increase the accuracy of modeling. Th...
Chapter
In this final chapter, we provide an overall conclusion to this book on the use of sensors in precision agriculture (PA) based on the conclusions of the individual chapters concerning key themes and future research needs. The authors highlighted aspects related to the need to improve sensor resolutions (spatial, temporal and spectral), increase acc...
Book
Full-text available
Many endeavours in precision agriculture use some kind of sensor to gain relatively inexpensive information on the spatial and temporal variation in crops, soil, weeds, diseases, and so on. However, information about sensors is scattered throughout the literature. This text fills an important niche by bringing together information on a wide range o...
Chapter
This chapter provides the background about the need to characterize the spatial and temporal variation of crop status, soils, diseases, weeds and pests within fields, and the need to have data about the variation of these variables in precision agriculture (PA). The role of sensors is to provide quantifiable, objective, repeatable and cost-effectiv...
Article
As water scarcity and demand for food both grow, viable solutions to efficiently irrigate crops are needed. The recent advent of variable rate irrigation systems provides technology for growers to water their fields accounting for the spatially heterogeneous demand of their crops for water. Some zones within a field may require less or more water b...
Article
Full-text available
Addressing within-field and within-season variability of crop water stress is critical for spatially variable irrigation. This study measures interactions between spatially variable soil properties and temporally variable crop water dynamics; and whether modelling soil water depletion is an effective approach to guide variable-rate irrigation (VRI)...
Article
Full-text available
Aflatoxins (AFs) are produced by fungi in crops and can cause liver cancer. Permitted levels are legislated and batches of grain are rejected based on average concentrations. Corn grown in Southern Georgia (GA), USA, which experiences drought during the mid-silk growth period in June, is particularly susceptible to infection by Aspergillus section...
Article
Full-text available
Estimating sediment load of rivers is one of the major problems in river engineering that has been using various data mining algorithms and variables. It is desirable to obtain accurate estimates of sediment load while using techniques that limit computational intensity when datasets are large. This study investigates the usefulness of geo-morphome...
Article
Drainage is a profitable water management operation in waterlogged soils, particularly in hot, arid environments where waterlogging is caused by irrigation and salts may build up when water evaporates from the soil surface. While drainage can reduce the buildup of salts, it may cause unwanted depletion of plant nutrients (nitrogen and phosphorus) f...
Article
Batches of grain are accepted or rejected based on average mycotoxin concentrations in a composite grain sample. Spatial analysis of mycotoxins in two grain bulks was performed to determine the spatial distribution of toxins, whether they were co-located and the proportions of grain over legislative limits. The 2D distribution of deoxynivalenol (DO...
Article
Full-text available
Predicting the spatio-temporal distribution of absorbable heavy metals in soil is needed to identify the potential contaminant sources and develop appropriate management plans to control these hazardous pollutants. Therefore, our aim was to develop a model to predict soil adsorbable heavy metals in arid regions of Iran from 1986 to 2016. Soil adsor...
Article
Full-text available
Land use change and soil organic carbon stock (SOCS) depletion over time is one of the predominant worldwide environmental problems related to global warming and the need to secure food production for an increasing world population. In our research, satellite images from 1988 and 2018 were analyzed for a 177.48 km2 region in Kurdistan Province, Ira...
Article
In order to manage soil salinity effectively, it is necessary to understand the origin and the spatial distribution of salinity. There are about 120 salt dome outcrops in southern Iran and little is known about their contribution as the potential sources of salts and the spatial pattern of salts around them. Six machine learning algorithms were app...
Preprint
Full-text available
Mycotoxins are toxins produced by fungi which are harmful to humans and animals and can contaminate staple crops. Aflatoxins are particularly toxic and can cause liver cancer so the permitted levels in foodstuffs are legislated. Batches of grain where average aflatoxin concentrations are higher than legislative thresholds are rejected or sold at a...
Book
Sensing Approaches for Precision Agriculture aims to bring together the ‘state of the art’ of the most popular sensing techniques and the current state of research on the application of sensors in Precision Agriculture (PA). Sensing is of great value in PA because it provides cheap and immediate data for management. This book gives a broad overview...
Article
Full-text available
Over 80% of lung cancer incidence in the USA has been linked with smoking, yet causes of lung cancer mortality (LCM) are more complex and have been linked with a range of cultural, environmental, economic and health, lifestyle variables. These all vary spatially yet spatial studies of lung cancer are rare. This paper investigates spatial patterns i...
Article
Full-text available
Soil quality assessment based on crop yields and identification of key indicators of it can be used for better management of agricultural production. In the current research, the weighted additive soil quality index (SQIw), factor analysis (FA), and multiple linear regression (MLR) are used to assess the soil quality of rainfed winter wheat fields...
Preprint
Full-text available
Soil quality assessment based on crop yields and identification of key indicators of it can be used for better management of agricultural production. In the current research, the weighted additive soil quality index (SQIw), factor analysis (FA) and multiple linear regression (MLR) method are used to assess the soil quality of rainfed winter wheat f...
Article
Full-text available
Rising adult asthma prevalence (AAP) rates and asthma emergency room (AER) visits constitute a large burden on public health in Utah (UT), a high-altitude state in the Great Basin Desert, USA. This warrants an investigation of the characteristics of the counties with the highest asthma burden within UT to improve allocation of health resources and...
Article
Full-text available
Abstract: Land suitability assessment is essential for increasing production and planning a sustainable agricultural system but such information is commonly scarce in the semi-arid regions of Iran. Therefore, our aim is to assess land suitability for two main crops (i.e., rain-fed wheat and barley) based on the FAO "land suitability assessment fram...
Article
Estimation of soil organic carbon (SOC) is very useful for accurate monitoring of carbon sequestration. However, there are still significant gaps in the knowledge of SOC reserves in many parts of the world, including western Iran. To partially fill the gap, 865 soil samples were used with 101 auxiliary variables and 5 machine learning (ML) algorith...
Article
Soil erosion prediction and conservation planning require detailed soil data under different environmental conditions. When such data are needed at the field scale, aspatial and spatial models could be used to predict soil erosion processes. This study was conducted to develop spatial models including geostatistical models (i.e. ordinary kriging (O...
Article
Full-text available
Riparian forests are important ecosystems especially in arid zones but no information is available about soil enzyme activity in this ecosystem. Therefore, the objectives of this study were to explore some soil enzyme activities and investigate which soil physico-chemical factors affect these soil enzyme activities in riparian forests the most. Tam...
Article
Full-text available
Spatial autocorrelation in the residuals of spatial environmental models can be due to missing covariate information. In many cases, this spatial autocorrelation can be accounted for by using covariates from multiple scales. Here, we propose a data-driven, objective and systematic method for deriving the relevant range of scales, with distinct uppe...
Article
Background The USA has seen dramatic increases in drug poisoning deaths (DPD) recently. State-level rates have responded to federal and state initiatives, yet the counties with the highest rates are stable. Spatial analysis enables investigators to identify the highest risk counties and most important risk factors, although results are often confou...
Article
Identifying changes in soil organic carbon stocks (SOCS) is essential for determining appropriate ways to deal with land degradation, for understanding soil and crop management and for gathering useful information for a range of environmental studies. The aim of this study was to predict SOCS and compare under current and potential future land uses...
Article
Full-text available
Soil macroporosity affects field-scale water-cycle processes, such as infiltration, nutrient transport and runoff1,2, that are important for the development of successful global strategies that address challenges of food security, water scarcity, human health and loss of biodiversity3. Macropores-large pores that freely drain water under the influe...
Article
Full-text available
The Kushk Pb–Zn mine is located in Central Iran and it has been in operation for the last 75 years. To investigate the role of wind dispersion of heavy metal pollutants from the mine area, dust samples were collected during 1 year and topsoil samples were collected around the mine. Results showed that the topsoil is polluted with Pb and Zn to about...
Article
A atoxin is a carcinogenic toxin to humans and animals produced by mold fungi in staple crops. It is expensive to measure and is usually measured at harvest leaving little scope for implementing mitigation strategies within season. If high and low risk areas and year can be identi�ed, then applying such strategies should be possible and the cost of...
Article
Slope gradient and land use change are known to influence soil quality and the assessment of soil quality is important in determining sustainable land-use and soil-management practices. In this study, soil quality indices (SQIs) were developed by quantifying several soil properties to discriminate the effects of slope gradient and land use change o...
Article
Full-text available
The population density of wildlife reservoirs contributes to disease transmission risk for domestic animals. The objective of this study was to model the African buffalo distribution of the Kruger National Park. A secondary objective was to collect field data to evaluate models and determine environmental predictors of buffalo detection. Spatial di...
Data
Univariate logistic regression to identify predictors of observing buffalo herds based on field data collected for 105 detected herds of buffalo in Kruger National Park during August 2012 and January 2013 compared to 234 hourly time points without buffalo observations. (DOCX)
Data
Univariate logistic regression to identify predictors of observing bachelor herds in 104 herds of buffalo in Kruger National Park identified during August 2012 and January 2013. (DOCX)
Data
The comparison of quantitative variables between locations where buffalo were observed in Kruger National Park during August 2012 and January 2013 compared to hourly (non-buffalo) observations and the correlation of these variables with the observed herd sizes. (DOCX)
Data
Collected field data saved as comma separated file. (CSV)
Data
WinBUGS code for performing the conditional autoregressive (CAR) model. (DOCX)
Data
a) Disaggregation model predictions (upper left); b) Poisson kriging model predictions (upper right); c) Zero-inflated Poisson model predictions (lower left); d) Conditional autoregression model predictions (lower right). (TIF)
Data
Univariate linear regression for the estimation of effects of predictor variables on observed buffalo herd size in 104 herds of buffalo in Kruger National Park identified during August 2012 and January 2013. (DOCX)
Article
Full-text available
Cranberries are grown in sensitive wetland ecosystems and precision farming could be beneficial to reduce agro-chemical pollution and increase production without expanding area. Precision farming requires knowledge of the variation of yield within-fields but cranberry harvesting methods produce only one yield value per field unless an expensive pre...
Article
Aflatoxin is a fungal toxin contaminating corn and causing liver cancer in humans and animals. Contamination is driven by high temperatures and drought. Aflatoxin assessment is expensive so extension services need to identify high risk areas so irrigation, planting strategies and corn varieties can be adapted. This research presents a web-based dec...
Article
Aflatoxin contamination of food can cause liver cancer in humans and animals. Identification of aflatoxin risk areas allows farmers to adapt management strategies before planting, during growth and at harvest. Aflatoxin contamination is driven by high temperatures and drought conditions and crops grown on light textured soil in the south eastern US...
Article
Modeling soil detachment rates at the regional scale is important for better understanding of the processes of erosion and the development of erosion models. Soil erodibility is an important factor for predicting soil loss, but its direct measurement at the watershed scale is difficult, time-consuming and costly. This study used stepwise multiple-l...
Article
Full-text available
Soil organic carbon (SOC) has been assessed in three dimension (3D) in several studies, but little is known about the combined effects of land use and soil depth on SOC stocks in semi-arid areas. This paper investigates the 3D distribution of SOC to a depth of 1 m in a 4600-ha area in southeastern Iran with different land uses under the irrigated f...
Article
Aflatoxin is a mycotoxin produced by the Aspergillus flavus fungi that can severely contaminate corn grain. The U.S. Food and Drug Administration (FDA) have set a limit of 20 ppb, total aflatoxin, for interstate commerce of food and feed as it can induce liver cancer in humans and animals. Contamination is exacerbated by high temperatures, drought...
Article
Full-text available
Understanding the occurrence of erosion processes at large scales is very difficult without studying them at small scales. In this study, soil erosion parameters were investigated at micro-scale and macro-scale in forests in northern Iran. Surface erosion and some vegetation attributes were measured at the watershed scale in 30 parcels of land whic...
Article
Themeasurement of soil erodibility (K) in the field is tedious, time-consuming and expensive; therefore, its prediction through pedotransfer functions (PTFs) could be far less costly and time-consuming. The aimof this study was to develop new PTFs to estimate the K factor using multiple linear regression,Mamdani fuzzy inference systems, and artific...
Article
Understanding the occurrence of erosion processes at large scales is very difficult without studying them at small scales. In this study, soil erosion parameters were investigated at micro and macro scales in forests in northern Iran. Surface erosion and some vegetation attributes were measured at the watershed scale in 30 parcels of land which wer...
Article
This study aimed to map SOC lateral, and vertical variations down to 1m depth in a semi-arid region in Kurdistan Province, Iran. Six data mining techniques namely; artificial neural networks, support vector regression, k-nearest neighbor, random forests, regression tree models, and genetic programming were combined with equal-area smoothing splines...
Article
This study aimed to map SOC lateral, and vertical variations down to 1 m depth in a semi-arid region in Kurdistan Province, Iran. Six data mining techniques namely; artificial neural networks, support vector regression, k-nearest neighbor, random forests, regression tree models, and genetic programming were combined with equal-area smoothing spline...
Article
The method of harvesting cranberries gives just one yield value per field so characterizing within-field variation is difficult. Geostatistical disaggregation of per field yield totals using the enhanced vegetation index (EVI) from imagery as secondary information was investigated. Results were compared to within-field yield variability projected f...
Article
Kruger National Park (KNP), South Africa, provides protected habitats for the unique animals of the African savannah. For the past 40 years, annual aerial surveys of herbivores have been conducted to aid management decisions based on (1) the spatial distribution of species throughout the park and (2) total species populations in a year. The surveys...
Article
Legacy data in the form of soil maps, which often have typical property measurements associated with each polygon, can be an important source of information for digital soil mapping (DSM). Methods of disaggregating such information and using it for quantitative estimation of soil properties by methods such as regression kriging (RK) are needed. Sev...
Article
Practitioners of geostatistics often fail to make associations between the patterns of variation on their maps of kriged predictions and the physical processes that might generate them. Geostatistical approaches that use knowledge of the underlying process have been proposed to reduce the number of soil samples required. Also, if the scale of varia...
Chapter
Full-text available
This chapter considers the importance of spatial scale in sampling and investigates various methods by which the variogram can be used to determine an appropriate sampling scheme or interval for grid sampling. When no prior information is available on the scale of variation, and the variable of interest is unlikely to be strongly correlated to avai...
Conference Paper
This paper investigates the potential of indicator and Poisson kriging for populating gaps in aerial transect surveys of herbivore species abundance in Kruger National Park, South Africa. Indicator kriging does not perform well due to a lack of zero counts in the raw observations and due to poor variogram structure for rare large counts. Two Poisso...
Chapter
Full-text available
Cranberries are harvested by flooding the field and agitating vines so the fruit, which float can be skimmed from the surface and loaded into barrels. This harvesting method makes application of standard precision farming practices difficult. This paper investigates the potential of combining Area-to-Area (AtoA) and Area-to-Point (AtoP) kriging of...
Article
Geostatistics is a distinctive methodology within the field of spatial statistics. In the past, it has been linked to particular problems (e.g., spatial interpolation by kriging) and types of spatial data (attributes defined on continuous space). It has been used more by physical than human geographers because of the nature of their types of data....
Chapter
Full-text available
This chapter describes three geostatistical methods to incorporate secondary information into the mapping of soil and crop attributes to improve the accuracy of their predictions. The application of the methods is illustrated in two case studies. Cokriging is the multivariate extension of the well known ordinary kriging. It does not require ancilla...