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- Title
Digitalization of Crop Production for Transition to Climate-Optimized Agriculture Using Spring Wheat in East Kazakhstan as an Example.
- Authors
Sadenova, Marzhan Anuarbekovna; Beisekenov, Nail Alikuly; Varbanov, Petar Sabev; Kulenova, Natalya Anatolyevna; Abitaev, Farid; Kamenev, Yuri
- Abstract
This paper presents the results of testing certain remote sensing indices (vegetation health index, temperature index, normalized drought difference index, and others). Multitemporal data of nine indices from Sentinel-2 and MODIS satellites for the vegetation period over 5 years were used to simulate the spring wheat yield of the Experimental farm of oilseeds. Results of spring wheat yield modeling have shown that the range of mean absolute error (MAE) values was 3.2 to 3.7, and fit index (d) values were 0.78 to 0.86. It was found that the best model R2 = 0.53 based on NDWI, VSDI, and NDVI indices can serve as the most effective predictor for monitoring and forecasting spring wheat yields in eastern Kazakhstan.
- Subjects
KAZAKHSTAN; AGRICULTURAL productivity; CLIMATE change; OILSEEDS; REMOTE sensing
- Publication
CET Journal - Chemical Engineering Transactions, 2022, Vol 96, p415
- ISSN
1974-9791
- Publication type
Article
- DOI
10.3303/CET2296070