Agricultural Resource Management Using Technologies Like AI, IoT, and Blockchain

The future of farming and farmers in India is smart farming, which uses intelligence to integrate information technology and communication tools equipped with sensors and actuators for embedded farm management. This involves using emerging technologies like AI, IoT, and blockchain to employ robots, drones, and artificial intelligence in the agricultural sector, which is modifying traditional farming practices and simultaneously posing a variety of difficulties. The aim is to explore the various tools and equipment used. Pesticides are an essential material used in agricultural land to eliminate insects or other harmful organisms that affect crop yields. However, excessive use of pesticides can result in problems such as decreased soil fertility and an increase in insect species' immunity. To overcome these challenges, a land-specific variable-rate spraying and directional spraying method can be employed, which offers an accurate and flexible alternative strategy. Soil moisture is a crucial parameter in agriculture as it affects plant growth and survival. Various factors like air content, salinity, toxic substances, soil structure, temperature, and heat capacity of the ground can affect soil moisture. Agriculture resource management can be enhanced by designing various technologies like AI, IoT, and blockchain by using IoT sensors, drones and satellites, AI-powered cameras, weather stations, crop yield predictions, disease and pest detection, crop optimization, supply chain transparency, resource optimization, online communities, and data sharing networks. AI optimizes resource allocation and predicts outcomes. IoT provides real-time data for precision farming and livestock monitoring, while blockchain ensures transparency and security in supply chains and transactions, revolutionizing agricultural resource management. Agriculture resource management using technologies like AI, IoT, and blockchain comes with ample potential results like increasing efficiency in agricultural operations, enhancing productivity, improving crop and livestock health, and facilitating knowledge sharing and collaboration.

Keywords: Agriculture, Artificial intelligence, Blockchain, Crop monitoring, Crop yeild prediction, Decision support system, Farm automation, IoT (Internet of Things), Machine learning, Resource optimization, Smart farming.