Yield prediction at field level

• Date: 2024
• Main Authors: Kryvoshein, Oleksandr, Kryvobok, Oleksii, Zhylchenko, Dmytro
• Format: Article
• Language: English
• Published: Scientific Centre for Aerospace Research of the Earth Institute of Geological Science National Academy of Sciences of Ukraine, Kyiv, Ukraine 2024
• Subjects: yield; prediction; crops; field; satellite data; machine learning
• Online Access: https://ujrs.org.ua/ujrs/article/view/275
• Journal Title: Ukrainian Journal of Remote Sensing of the Earth

Yield prediction at the field level is crucial for optimizing agricultural productivity and ensuring food security. This study analyzes the yield variability of maize, sunflower, and winter wheat across 481 agricultural fields in two regions of Ukraine (Kyiv and Cherkasy) over a three-year period (2...