Wireless Technology in Agriculture using Integration of Internet of Things (IoT) and AI

Modern agriculture is undergoing a transformation because to the combination of wireless technology, the Internet of Things (IoT), and artificial intelligence (AI), which improves sustainability, productivity, and resource efficiency. Real-time data gathering from a variety of environmental indicators, including soil moisture, temperature, humidity, and crop health, is made possible in large part by wireless sensor networks (WSNs). For further in-depth analysis, this data is sent to cloud platforms via wireless communication protocols including ZigBee, LoRa, and 5G. Predictive models are used to optimize fertilizer use, controlling pests, and irrigation schedules by utilizing AI-driven information. IoT and AI work together to give farmers meaningful information so they can make data-driven decisions that increase crop output and cut down on resource waste. Furthermore, by facilitating the effective operation of drones, autonomous machinery, and intelligent irrigation systems, automated systems combined with machine learning algorithms improve precision agriculture techniques. This study emphasizes the importance of wireless technology, IoT architecture, and AI algorithms in improving agricultural operations, resulting in increased production while supporting sustainable farming approaches. The future scope of this technological integration is expected to further reinvent the agricultural industry by improving real-time monitoring, predictive analytics, and autonomous decision-making systems.