AI-based Organic Farming as an Instrument for Environmental Protection

Abstract

The combination of AI and traditional farming methods shows potential for tackling environmental issues in agriculture. This research paper examines how AI-driven organic agriculture can serve as a powerful tool for safeguarding the environment. Through analyzing recent literature, case studies, and upcoming technologies, we explore the potential of AI in enhancing organic farming methods to lessen environmental effects, enhance resource utilization, and support biodiversity. The research investigates different AI uses in organic farming, such as precision agriculture, pest control, soil health tracking, and predicting crop yields. Our results indicate that incorporating AI into organic agriculture can make a substantial impact on promoting sustainable farming practices and preserving the environment. Yet, issues like data privacy, technological accessibility, and the necessity for farmer training need to be resolved in order to fully exploit the advantages of this method.