Digital technology for sustainable development of an agricultural region

Abstract

Artificial intelligence can have different applications in every field with evolving technology. Forecasting and optimization approaches with artificial intelligence-based methods are used in daily life as well as in different areas such as e-commerce, production, service, health, and agriculture. In this study, the applications of artificial intelligence in the field of agriculture were evaluated and the role of artificial intelligence applications in sustainable development was examined. A machine learning model has been formed for predicting agricultural practices, and different methods have been compared. The best model is obtained via random forest algorithm with a 14.25% mean absolute percentage error. The proposed method can be used for production amount prediction successfully. © 2024 Elsevier Inc. All rights reserved.