Integrating AI and IOT for Smart Agriculture: Machine Learning Models for Precision Irrigation

Due to the growing need for food, precision irrigation methods utilizing machine learning technologies are required. Technologies including controls, sensors, analytics for data, and the internet are a part of precision irrigation systems that aim to maximise water efficiency, boost agricultural yields, and decrease water wastage. Soil moisture sensors provide real-time data to a central control unit, which analyses the data and controls the water flow based on the results. The incorporation of AI with the Internet of Things, also called the IoT, is the main emphasis in order to enhance smart agriculture. In the agriculture sector, real-time sensor-based status monitoring is made possible by IoT technology, while ML provides robust data processing abilities. AI automates agricultural processes, uses this data for identification of diseases, predicts crop yields, optimises resources, and adapts to climate change.The integration of the Internet of Things (IoT), the use of cloud computing, and artificial intelligence enhances sustainable farming operations by enabling the real-time monitoring of agricultural conditions, predictive analytics, and climate adaptation. The recommended approach Compared to previous existing algorithms, ISOA-ASVM is quicker and avoids overfitting by utilizing distributed and parallel computing. The effectiveness of various machine learning algorithms can be impacted by features of varying sizes and units when Min-Max Normalization is used. Outlier identification and removal can decrease machine learning models' efficacy by distorting the statistical connection between features. The comparative analysis to evaluate the ISOA-ASVM method yielded with the highest accuracy of 99.3%, This system allows farmers to easily manage water resources by modifying irrigation schedules remotely, tracking water use, and receiving real-time messages and cautions. Consequently, efficient water management practices, such as precise irrigation and good water quality control, may optimise water use and productivity.