Virtual Booth

This study explores how the Internet of Things (IoT) and Artificial Intelligence (AI) technologies can enhance efficiency and productivity in agriculture. The hypothesis is that integrating IoT and AI into farming systems improves farm management, reduces operational costs, and increases crop yields through smarter monitoring and control. The methodology involves developing and implementing a smart farming system using a microcontroller prototype, IoT
sensors to analyze soil conditions, temperature, and humidity. A robot powered by AI algorithms is used, equipped with sensors to detect pests andrespond by chasing them away. Field tests showed improved crop yield, reduced water and fertilizer usage, and early detection of diseases and pest threats. IoT and AI offer a sustainable and effective solution for boosting productivity and efficiency in modern agriculture.