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William D. Batchelor
Researcher at Auburn University
Publications - 135
Citations - 8707
William D. Batchelor is an academic researcher from Auburn University. The author has contributed to research in topics: Soil water & Biology. The author has an hindex of 35, co-authored 120 publications receiving 7119 citations. Previous affiliations of William D. Batchelor include Mississippi State University & Iowa State University.
Papers
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Journal ArticleDOI
The DSSAT cropping system model
James W. Jones,Gerrit Hoogenboom,Cheryl H. Porter,Kenneth J. Boote,William D. Batchelor,L. A. Hunt,Paul W. Wilkens,Upendra Singh,Arjan J. Gijsman,Joe T. Ritchie +9 more
TL;DR: The benefits of the new, re-designed DSSAT-CSM will provide considerable opportunities to its developers and others in the scientific community for greater cooperation in interdisciplinary research and in the application of knowledge to solve problems at field, farm, and higher levels.
Journal Article
DSSAT cropping system model
James W. Jones,Gerrit Hoogenboom,Cheryl Porter,Kenneth J. Boote,William D. Batchelor,L. A. Hunt,Paul W. Wilkens,Upendra Singh,Arjan J. Gijsman,Joe T. Ritchie +9 more
TL;DR: The decision support system for agrotechnology transfer (DSSAT) has been in use for the last 15 years by researchers worldwide as mentioned in this paper and has been used for many applications.
Journal ArticleDOI
Crop Phenomics and High-Throughput Phenotyping: Past Decades, Current Challenges, and Future Perspectives.
Wanneng Yang,Hui Feng,Xuehai Zhang,Jian Zhang,John H. Doonan,William D. Batchelor,Lizhong Xiong,Jianbing Yan +7 more
TL;DR: Main developments on high-throughput phenotyping in the controlled environments and field conditions as well as for post-harvest yield and quality assessment in past decades are reviewed and the latest multiomics works combining high- throughput phenotypesing and genetic studies are described.
Journal ArticleDOI
Relating apparent electrical conductivity to soil properties across the north-central USA
Kenneth A. Sudduth,Newell R. Kitchen,William J. Wiebold,William D. Batchelor,Germán A. Bollero,Donald G. Bullock,David E. Clay,H. L. Palm,Francis J. Pierce,R. T. Schuler,Kurt D. Thelen +10 more
TL;DR: In this article, the authors used EM38 data collected in the vertical dipole orientation (0-150cm depth) and Veris 3100 data collected at 0-100cm depth to investigate the relationship between apparent electrical conductivity (EC"a) of the soil profile and measured soil properties.
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Shape identification and particles size distribution from basic shape parameters using ImageJ
TL;DR: In this paper, the authors developed an ImageJ plugin that extracts the dimensions from a digital image of disjoint particles after identifying their shapes and determining their particles size distribution, which can be applied to variety of particle analysis applications.