ARCHIVES
VOL. 7, ISSUE 2 (2022)
Crop yield prediction using satellite remote sensing based methods
Authors
Kiran Bamel, Jitender Singh Bamel, Neetu Rani, Sumit Kumar Pathak, Sara Gahlot, Rishta Nandini Singh
Abstract
Agriculture plays an important role in a nation’s economic progress by not only feeding its population but also by providing rural employment, agriculture related export and fetching foreign exchange. Adoption of new technologies and interdisciplinary management approaches has significantly improved the agricultural produce. This study provides an insight into the application of several satellite remote sensing-based models that are used to quantify the crop yield. Further, it emphasizes on the need to develop a single or hybrid problem specific and user-friendly model. This may facilitate agriculturists and other stakeholders to identify the most reliable technique to ascertain the crop yield.
Download
Pages:35-40
How to cite this article:
Kiran Bamel, Jitender Singh Bamel, Neetu Rani, Sumit Kumar Pathak, Sara Gahlot, Rishta Nandini Singh "Crop yield prediction using satellite remote sensing based methods". International Journal of Botany Studies, Vol 7, Issue 2, 2022, Pages 35-40
Download Author Certificate
Please enter the email address corresponding to this article submission to download your certificate.

