Applications of AI in precision agriculture

Precision agriculture (PA) leverages advanced technologies to optimize field-level management regarding crop farming. By using data analytics, satellite imagery, and various sensors, PA aims to increase crop yields while minimizing environmental impact. Artificial intelligence (AI) plays a crucial role in enhancing these capabilities, enabling more accurate predictions of soil, disease, pests and weeds, efficient resource management, and better decision-making processes. This review explores the diverse applications of AI in precision agriculture, highlighting the benefits and challenges associated with these advancements. It elaborates on various AI based tools and software which can help farmers customize their farming practices. It also throws light on the various challenges currently existing which inhibit the implementation of these latest technologies. The major challenge of data collection, data ownership and data privacy along with the huge cost of implementing the AI based setup are discussed. The review also focuses on the future AI technologies in agriculture like climate prediction, precision livestock farming, vertical agriculture etc.