Gregory Rouze
Texas A&M University
8 Papers
9 Citations
Gregory Rouze is an academic researcher from Texas A&M University. The author has contributed to research in topics: Precision agriculture & Crop yield. The author has an hindex of 2, co-authored 8 publications.
Chat about Author
Papers
Unmanned Aerial Vehicles for High-Throughput Phenotyping and Agronomic Research
Yeyin Shi,J. Alex Thomasson,Seth C. Murray,N. Ace Pugh,William L. Rooney,Sanaz Shafian,Nithya Rajan,Gregory Rouze,Cristine L.S. Morgan,Haly L. Neely,Aman Rana,Muthu Bagavathiannan,James V. Henrickson,Ezekiel Bowden,John Valasek,Jeffrey Olsenholler,Michael P. Bishop,R. Sheridan,E. Putman,Sorin C. Popescu,Travis Burks,Dale Cope,Amir M. H. Ibrahim,Billy F. McCutchen,David D. Baltensperger,Robert V. Avant Jr.,Misty Vidrine,Chenghai Yang +27 more
TL;DR: In this paper, the authors report on processes and lessons learned from year 1 of a large multidisciplinary project evaluating UAV images across a range of breeding and agronomic research trials on a large research farm.
Prototyping a Methodology for Long-Term (1680–2100) Historical-to-Future Landscape Modeling for the Conterminous United States
TL;DR: In this article, a methodology for modeling long-term historical and future landscape change was applied in the Delaware River Basin of the United States, where a parcel-based modeling framework was used to reconstruct historical landscapes back to 1680.
17
Exploratory Assessment of Aerial Gamma Radiometrics across the Conterminous United States
TL;DR: In this article, a linear regression model was created between soil properties (clay and sand contents, cation exchange capacity, CaCO₃ equivalent, and pH) and aerial dose rate based on both physiography and parent material type.
2
Spatial analysis of multispectral and thermal imagery from multiple platforms
Gregory Rouze,Haly L. Neely,Cristine L.S. Morgan,Chenghai Yang +3 more
- 21 May 2018
TL;DR: In this article, the authors quantify improvements in UAV-based plant (cotton) modeling relative to proximal sensing (i.e., EM-38), manned aircraft, and satellites (Landsat 8), and determine how such modeling can be affected by soil spatial variability.
2
Strategies for soil-based precision agriculture in cotton
Haly L. Neely,Cristine L.S. Morgan,Scott M. Stanislav,Gregory Rouze,Yeyin Shi,J. Alex Thomasson,John Valasek,Jeffrey Olsenholler +7 more
- 17 May 2016
TL;DR: In this paper, the authors used a multispectral camera from a UAV to measure crop response to environmental and management factors in real-time without disturbing the crop and found that soil properties had a significant effect on seed-cotton yield and the effect was not consistent across years due to different precipitation conditions.
2