Population growth, climate change, diminishing agricultural areas, and escalating cost of production are putting more demands on Agriculture. Farmers are required to generate more food with less resources without compromising on the quality of crops and protecting the environment. Artificial Intelligence (AI) has become a potent tool to help farmers to resolve these problems with the help of smart and data-driven approaches. The current project is based on an AI-based agro system that will enhance the decision-making process, automation of key agricultural operations, and sustainable crop harvests. The system combines machine learning, computer vision, Internet of Things (IoT) sensors, and the data analytics system in the cloud so that it could monitor the conditions in farming continuously. Information gathered using soil sensors, drones, and satellite pictures is examined in real-time to comprehend the health of crops, the presence of moisture in soil, nutrient requirements, and the weather. AI algorithms would be useful in predicting diseases even before symptoms manifest themselves, detecting pest activity, and recommending corrective measures that do not cause crop damage. Mor
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