Automated Irrigation System based on irrigation gates using fuzzy logic

Water resources in the world are running down rapidly. In Pakistan, 93 % of water is used to irrigate agricultural land, and more than 60% wasted during irrigation. The main causes of this wastage are lack of irrigation knowledge and improper scheduling. which causes the wastage of water, loss in soil fertility, loss in production, and wastage of electric power. This wastage can be controlled by adopting modern technologies in the agriculture sector. IoT based automated solutions can facilitate to accomplish the optimized distribution of water in the context of irrigation. In this study, a smart gate equipped with water level and flow measuring sensors has been developed for open channel precision irrigation. Multiple sensing nodes were deployed to collect soil moisture, temperature, and humidity from the field by applying WSN techniques and forwarded collected data to Firebase Realtime Database. Fuzzy logic techniques have been used for decision making by evaluating collected data according to fuzzy rule-base. Smart gate delivers water content as per the crop’s needs by calculating water quantity based on fuzzy decisions. The mobile dashboard provides Realtime information and control to the farmer. The system has been tested on a pilot scale and MATLAB simulation. Moisture decrease rate at different temperatures has been tested to predict irrigation days.