Integrating Remote Sensing To Improve Crop Grain Yield Estimates For Assessing Within Field Spatial And Temporal Variability
Download and Read Integrating Remote Sensing To Improve Crop Grain Yield Estimates For Assessing Within Field Spatial And Temporal Variability full books in PDF, ePUB, and Kindle. Read online free Integrating Remote Sensing To Improve Crop Grain Yield Estimates For Assessing Within Field Spatial And Temporal Variability ebook anywhere anytime directly on your device. We cannot guarantee that every ebooks is available!
Integrating Remote Sensing to Improve Crop Grain Yield Estimates for Assessing Within-field Spatial and Temporal Variability
Author | : Aman Bhatta |
Publisher | : |
Total Pages | : 34 |
Release | : 2020 |
Genre | : Crop yields |
ISBN | : |
Download Integrating Remote Sensing to Improve Crop Grain Yield Estimates for Assessing Within-field Spatial and Temporal Variability Book in PDF, Epub and Kindle
accuracy than LR models, and the models were able to explain up to 83% within-field yield variability. Model based yield maps demonstrated within-field yield differences better than yield monitor data. Spatial variability of crop yield was generally lower than temporal variability. Topographic properties were found to play significant role in within-field yield differences. Areas with lower slope were found to have higher yield suggesting the need to consider topographic variabilities in implementation of agricultural practices. Improved understanding on processes underlying spatial and temporal variability of crop yield can help develop management practices for optimal productivity with improved environmental quality.
Integrating Remote Sensing to Improve Crop Grain Yield Estimates for Assessing Within-field Spatial and Temporal Variability Related Books
Pages: 34
Pages: 555
Pages: 94
Pages: 130
Pages: 308