Precision Agriculture: Application of AI Technology for the Early Detection of Diseases in Plants

Abstract

Precision agriculture has emerged as an innovative solution to meet the current challenges in agricultural production. The implementation of artificial intelligence (AI) technologies has allowed the development of advanced systems for the early detection of plant diseases, contributing to the improvement of productivity and sustainability. This study looks at the use of AI Technology, such as machine learning and computer vision, to identify early signs of disease in crops. The results of various experimental applications are presented, highlighting their effectiveness compared to traditional methods. The findings suggest that integrating AI into precision agriculture can optimize crop management and reduce pesticide use, benefiting both the farmer and the environment.