The importance of machine learning in sustainable agriculture

Abstract

In recent years, the field of agriculture has undergone significant changes due to the use of artificial intelligence (AI) and machine learning. These technologies have transformed various aspects of the agricultural sector, including the introduction of automated machinery and the introduction of precision agriculture. In crop production, various machine learning models are used for crop improvement, production optimization, disease and pest prevention, irrigation optimization, fertilizer management, etc. In this research is given example of a simple model based on the scikit-learn library to predict yields based on weather data and other inputs