Site-Specific Management of Cotton Root Rot Using Airborne and High-Resolution Satellite Imagery and Variable-Rate Technology
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J. Alex Thomasson | Chenghai Yang | Robert L. Nichols | Gary N. Odvody | Thomas Isakeit | Richard R. Minzenmayer | David R. Drake
[1] Chenghai Yang,et al. Change detection of cotton root rot infection over 10-year intervals using airborne multispectral imagery , 2016, Comput. Electron. Agric..
[2] Ancha Srinivasan,et al. Handbook of Precision Agriculture: Principles and Applications , 2006 .
[3] Chenghai Yang,et al. Mapping phymatotrichum root rot of cotton using airborne three-band digital imagery , 2005 .
[4] Chenghai Yang,et al. Comparison of airborne multispectral and hyperspectral imagery for mapping cotton root rot. , 2010 .
[5] R. G. V. Bramley,et al. Lessons from nearly 20 years of Precision Agriculture research, development, and adoption as a guide to its appropriate application , 2009 .
[6] R. G. Percy,et al. Potential range of Phymatotrichum omnivorum as determined by edaphic factors , 1983 .
[7] Chenghai Yang,et al. A high-resolution airborne four-camera imaging system for agricultural remote sensing , 2012 .
[8] Qin Zhang,et al. Precision Agriculture Technology for Crop Farming , 2015 .
[9] K. Mysore,et al. Phymatotrichum (cotton) root rot caused by Phymatotrichopsis omnivora: retrospects and prospects. , 2010, Molecular plant pathology.
[10] Chenghai Yang,et al. Evaluating unsupervised and supervised image classification methods for mapping cotton root rot , 2014, Precision Agriculture.
[11] R. G. V. Bramley,et al. Adoption of variable rate fertiliser application in the Australian grains industry: status, issues and prospects , 2011, Precision Agriculture.