PROSPECTS OF USING MACHINE LEARNING FOR FORECASTING THE YIELD OF AGRICULTURAL CROPS
The article compares physical models and machine learning methods for crop yield prediction, analyzing their advantages, limitations, and potential integration. It highlights how modeling contributes to resource optimization, risk reduction, and increased production efficiency.
Authors
- Svitlana Prystash (ORCID: https://orcid.org/0009-0001-6271-7395)
Publication Details
- Published
- 2025-05-01
- DOI
- https://doi.org/10.31521/978-617-7149-86-5-127
- Primary Topic
- Digitalization and Economic Development in Agriculture
- Type
- article
- Field-Weighted Citation Impact
- 0.00