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Brooks, J.P
Bean, M
Boote, K
Berglund, &.E
McCarter, K.S
Botsali, F.M
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Authors
Berglund, &.E
Ransom, C.J
Bean, M
Kitchen, N
Camberato, J
Carter, P
Ferguson, R.B
Fernandez, F.G
Franzen, D.W
Laboski, C
Nafziger, E
Sawyer, J
Shanahan, J
Burris, E
Burns, D
McCarter, K.S
Overstreet, C
Wolcott, M
Pecker, K
Botsali, F.M
Topal, A
Zengin, M
Czarnecki, J
Brooks, J.P
Reeks, M.C
Hu, J
Maktabi, S
Vellidis, G
Hoogenboom, G
Boote, K
Pilcon, C
Fountain, J
Sysskind, M
Kukal, S
Topics
Spatial Variability in Crop, Soil and Natural Resources
Sensor Application in Managing In-season Crop Variability
Spatial and Temporal Variability in Crop, Soil and Natural Resources
Adoption of Precision Agriculture
Land Improvement and Conservation Practices
Decision Support Systems
Type
Oral
Poster
Year
2014
2016
2008
2024
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Filter results6 paper(s) found.

1. Spatial Variation And Correlation Between Electric Conductivity (EM38), Penetration Resistance And CO2 Emissions From A Cultivated Peat Soil

Peatlands in their natural state accumulate organic matter and bind large quantities of carbon (5 - 50 g C/m2/year). The drainage and cultivation of peat soils increase the aeration of the soil, which increase the brake down of the organic matter. The degradation of the organic material release greenhouse gases such as CO2, N2O and CH4. CO2 emissions dominate when the soil has high oxygen levels, while CH4 mainly is... &.E. Berglund

2. Field-scale Nitrogen Recommendation Tools for Improving a Canopy Reflectance Sensor Algorithm

Nitrogen (N) rate recommendation tools are utilized to help producers maximize grain yield production. Many of these tools provide recommendations at field scales but often fail when corn N requirements are variable across the field. This may result in excess N being lost to the environment or producers receiving decreased economic returns on yield. Canopy reflectance sensors are capable of capturing within-field variability, although the sensor algorithm recommendations may not always be as accurate... C.J. Ransom, M. Bean, N. Kitchen, J. Camberato, P. Carter, R. Ferguson, F. Fernandez, D. Franzen, C. Laboski, E. Nafziger, J. Sawyer, J. Shanahan

3. Evaluation of the Effects of Telone Ii on Nitrogen Management and Yield in Louisiana Delta Cotton

Research indicates that cotton yield on light soils within the alluvial flood plain of the Lower Mississippi delta may be increased by using chemical fumigation applications of Telone II and/or seed treatments to control infestations of plant parasitic nematodes. There is a documented interaction with fumigation and nitrogen and therefore a need to further understand the performance of site- specific treatment strategies for nitrogen (N) and fumigation treatments. In a small plot test conducted... E. Burris, D. Burns, K.S. Mccarter, C. Overstreet, M. Wolcott

4. The Review of Studying and Using Advanced Technologies for Site Specific Management in Konya, Turkey

Using advanced (information) technologies in agriculture is increasing rapidly especially in the developed countries such as USA, Japan, and some members of EU. Advanced technologies in agriculture are mostly based on sensors. Site specific management is a form of agricultural management, which is governed by optimum use of variables. Input such as chemical, water, and seed in agricultural production can be managed by using the technologies. Geographic information systems (GIS), Global Position... K. Pecker, F.M. Botsali, A. Topal, M. Zengin

5. Spatial and Temporal Variability of Soil Biological and Chemical Parameters Following the Introduction of Cover Crops into a Conventional Corn-cotton Rotational System

Methods to characterize soil microbial diversity and abundance are labor intensive and require destructive sampling that incurs a per unit cost. There are advantages to replacing current methods with remote sensing approaches; the most obvious of which is spatially explicit representation of microbes on agricultural landscapes. Such a method will ultimately address open questions related to (1) the spatial scale of variability in soil microbial activity, and (2) the behavior of microbes in cover... J. Czarnecki, J.P. Brooks, M.C. Reeks, J. Hu

6. Predicting the Spatial Distribution of Aflatoxin Hotspots in Peanut Fields Using DSSAT CSM-CROPGRO-PEANUT-AFLATOXIN

Aflatoxin contamination in peanuts (Arachis hypogaea L.) is a persistent concern due to its detrimental effects on both profitability and public health. Several plant stress-inducing factors, including high soil temperatures and low soil moisture, have been associated with aflatoxin contamination levels. Understanding the correlation between stress-inducing factors and contamination levels is essential for implementing effective management strategies. This study uses the DSSAT CSM-CROPGRO-Peanut-Aflatoxin... S. Maktabi, G. Vellidis, G. Hoogenboom, K. Boote, C. Pilcon, J. Fountain, M. Sysskind, S. Kukal