Performance and Accuracy Enhancement of Machine Learning & IoT-based Agriculture Precision AI System

Machine Learning (ML) is transforming agriculture, especially precision agriculture. This research shows how ML improves IOT-based agriculture precision AI system performance and accuracy. ML analyzes soil composition, weather patterns, and crop health indicators in real time using advanced algorithms and prediction models. This approach aids accurate decision-making, resource allocation, and proactive intervention to boost agricultural yields and reduce environmental impact. The present study discusses the methods used to improve the accuracy and efficacy of ML-based IoT-enabled agriculture precision AI systems, which might revolutionize farming and solve agricultural industry problems. This paper examines current research and advances to discuss the opportunities and implications of integrating ML into IoT-enabled agriculture precision AI systems, enabling sustainable and resilient agricultural practices in the face of changing environmental and economic pressures.