Artificial Intelligence in Precision Agriculture: Enhancing Crop Yields

Mutumba Paul Timothy

Faculty of Science and Technology Kampala International University Uganda

                                                                          ABSTRACT

Precision agriculture (PA) represents a modern farming approach that integrates advanced technologies to optimize crop production while minimizing environmental impact. This paper explores the role of artificial intelligence (AI) in enhancing precision agriculture by improving crop yields, reducing resource wastage, and promoting sustainable farming practices. AI techniques, such as machine learning, remote sensing, and robotics, are being increasingly utilized to monitor crop health, predict yields, and manage farm resources effectively. The paper discusses various applications of AI in agriculture, examines the challenges and opportunities in implementing AI-driven solutions, and highlights case studies that demonstrate the success of AI in precision agriculture. Future trends and innovations in AI technologies are also explored, providing insights into the potential of AI to revolutionize the agricultural sector.

Keywords: Precision Agriculture, Artificial Intelligence, Crop Yield Prediction, Sustainable Farming, Remote Sensing.

CITATION: Mutumba Paul Timothy. Artificial Intelligence in Precision Agriculture: Enhancing Crop Yields. Research Output Journal of Biological and Applied Science, 2024 3(2):13-17