Engineering Commons^™

Pesticide Application Management Toolset For Worker Protection Standards, Nathan W. Thorson

Department of Biological Systems Engineering: Dissertations and Theses

The application of Pesticides has become a widely adopted practice within modern agriculture, however this practice poses a significant health risk to farm workers and crop advisors when pesticide exposures occur. Current safety standards require documentation of each application to help mitigate human exposure, yet these standards rely heavily on antiquated data collection formats and complex communication systems putting little emphasis on notification timeliness. Our objective was to reduce the risk of pesticide exposure for all farm workers and crop advisors by utilizing technological automation processes to reduce the number of links within the communication system. This proved successful though …

Gis-Based Volunteer Cotton Habitat Prediction And Plant-Level Detection With Uav Remote Sensing, Tianyi Wang, Xiaohan Mei, J. Alex Thomasson, Chenghai Yang, Xiongzhe Han, Pappu Kumar Yadav, Yeyin Shi

Department of Biological Systems Engineering: Papers and Publications

Volunteer cotton plants germinate and grow at unwanted locations like transport routes and can serve as hosts for a harmful cotton pests called cotton boll weevils. The main objective of this study was to develop a geographic information system (GIS) framework to efficiently locate volunteer cotton plants in the cotton production regions in southern Texas, thus reducing time and economic cost for their removal. A GIS network analysis tool was applied to estimate the most likely routes for cotton transportation, and a GIS model was created to identify and visualize potential areas of volunteer cotton growth. The GIS model indicated …

Predictive Modeling Of Fate And Transport Of Three Prevalent Contaminants In Midwest Agroecosystem Surface Waters: Nitrate-N, Atrazine, And Escherichia Coli, Samuel Hansen

Department of Biological Systems Engineering: Dissertations and Theses

The majority of streams and rivers in the United States (U.S.) are ecologically impaired, or threatened by anthropogenic stressors. Recent reports have found atrazine in drinking water to be associated with increased birth defects and incidences of Non-Hodgkin’s Lymphoma, with higher levels of significance from exposure to both atrazine and nitrate-N. In contrast, recent illnesses from E. coli contaminating vegetables that originated from irrigation water has increased awareness of identifying sources of E. coli entering irrigation reservoirs.

Methods to accurately predict atrazine and E. coli occurrence and potential sources in waterways continue to limit the identifying appropriate and effective prevention …

Pumpage Reduction By Using Variable Rate Irrigation To Mine Undepleted Soil Water, Tsz Him Lo, Derek M. Heeren, Derrel Martin, Luciano Mateos, Joe D. Luck, Dean E. Eisenhauer

Department of Biological Systems Engineering: Papers and Publications

Conventional irrigation schedules are typically based on portions of the field where root zones hold the least available soil water. This leaves undepleted available water in areas with larger water holding capacities. The undepleted water could be used through variable-rate irrigation (VRI) management; however, the benefits of VRI without in-field mapping are unexamined. In this research, the field-averaged amount of undepleted available soil water in the root zone was calculated from the NRCS Soil Survey Geographic database for 49,224 center-pivot irrigated fields in Nebraska. Potential reductions in pumpage from mining undepleted available water were then estimated. Results of the analysis …

Potential Irrigation Reductions From Increasing Precipitation Utilization With Variable Rate Irrigation, Tsz Him Lo, Derek M. Heeren, Luciano Mateos, Joe D. Luck, Derrel L. Martin, Dean E. Eisenhauer

Department of Biological Systems Engineering: Papers and Publications

Much of the previous research quantifying the potential benefits of variable rate irrigation (VRI) consists of case studies with simulations using data from small numbers of intensely sampled fields. In this study, an indicator of the amount of root zone available water capacity that is unutilized by uniform rate irrigation was calculated for 49,224 center pivot irrigated fields in Nebraska using publicly available data exclusively. Based on the values of this indicator, potential seasonal irrigation reductions from increasing precipitation utilization with VRI were estimated to be high for a small fraction of analyzed center pivots but low on a regional …

Developing A Restorable Wetland Index For Rainwater Basin Wetlands In South-Central Nebraska: A Multi-Criteria Spatial Analysis, Zhenghong Tang, Xu Li, Nan Zhao, Ruopu Li, F. Edwin Harvey

Community and Regional Planning Program: Faculty Scholarly and Creative Activity

It is always challenging for decision makers to prioritize wetland conservation programs at the landscape scale. This study employed a GIS-based multi-criteria spatial decision support tool that identified locations with the highest restoration potential for wetland conservation programs in the Rainwater Basin in south-central Nebraska. Five indicators were considered to assess wetland restoration potential: (1) Vegetation characteristics; (2) Soil characteristics; (3) Water volume released from hydrological modification of agricultural irrigation pits; (4) Topographical depression status; and (5) Habitat condition. The results suggested 192 (1.6% of the total) hydric soil footprints as the highest prioritized locations for future wetland restoration programs. …

Application Of Gis And Geographically Weighted Regression To Evaluate The Spatial Non‐Stationarity Relationships Between Precipitation Vs. Irrigated And Rainfed Maize And Soybean Yields, Vivek Sharma, Ayse Kilic, Isa Kabenge, Suat Irmak

Department of Biological Systems Engineering: Papers and Publications

Understanding the relationship between the spatial distribution of precipitation and crop yields on large scales (i.e., county, state, regional) while accounting for the spatial non‐stationarity can help managers to better evaluate the long‐term trends in agricultural productivity to make better assessments in food security, policy decisions, resource assessments, land and water resources enhancement, and management decisions. A relatively new technique, geographically weighted regression (GWR), has the ability to account for spatial non‐stationarity with space. While its application is growing in other scientific disciplines (i.e., social sciences), the application of this new technique in agricultural settings has not been practiced. The …

Gis-Based Irrigation District Flow Routing/Scheduling, Charles M. Burt, Beau Freeman

BioResource and Agricultural Engineering

In 2007, the Irrigation Training and Research Center (ITRC) at California Polytechnic State University, San Luis Obispo undertook to develop a prototype of an intelligent and scalable real-time GIS-based water scheduling and routing software system for irrigation districts, capable of integrating multiple data sources into an information access and management facility featuring collaborative tools with automatic reasoning and analytical capabilities. Improving the infrastructure and management capabilities of irrigation districts in order to provide flexible delivery schedules and increase participation in peak demand reduction programs has been identified as having a significant potential to achieve energy conservation and resource efficiencies.

The …

Manipulation Of High Spatial Resolution Aircraft Remote Sensing Data For Use In Site-Specific Farming, Gabriel B. Senay, Andrew D. Ward, John G. Lyon, Norman R. Fausey, Sue E. Nokes

Biosystems and Agricultural Engineering Faculty Publications

Three spatial data sets consisting of high spatial resolution (1 m) remote sensing images acquired in 12 spectral bands, an on-the-go yield map, and a Digital Elevation Model were co-registered and evaluated for spatial variability studies in a Geographic Information Systems environment. Separate on-the-go yield maps were developed for 3, 5, and 12 statistically significant mean yield classes. For each yield class, the corresponding mean spectral and elevation data were extracted. The relationship between mean spectral and yield data was strongly linear (r = 0.99). Also, a strong linear relationship between mean yield and elevation data (r = 0.92) was …