F-SIFT: Fuzzy Based Smart Intelligence Farming Techniques Using IoT Technique

Intelligent farming plays an important role in the agricultural field. Agriculture is heavily impacted by changes in the global climate, including temperature, rainfall patterns, Soil degradation, pests, and diseases that can cause significant damage to crops, leading to crop loss and reduced yields. To increase the crop yield, the proposed technique of implementing real-time prediction of crop yield IOT monitoring system called Digital Intelligence Farming Techniques (DIFT) uses a Fuzzy Inference System (FIS) to make decisions effectively and efficiently through the mobile application. Based on the real-time implementation, performance metrics like Soil moisture level, rainfall, temperature, and humidity are analyzed, and experiments are being done in the Tomato Plant. The real-time experiments were conducted in the Agriculture fields of Kumbakonam, Tamil Nadu, India. The DIFT approach will help the farmer to predict the most suitable crop to grow in that environment.