Design and Implementation of a Smart Controller in Agriculture for Improved Productivity

Abstract

Agricultural produce significantly depends on many crop parameters such as humidity, pH, temperature, sunlight, microbial activity, soil ions, air quality, and water quality. A higher production of crop can be achieved via maintaining all these parameters in the desired range. A smart system was developed to control the environmental parameters in the desired range via incorporating a multisensor to measure the parameters such as humidity, temperature, and sunlight; in addition, also a suitable controller was designed to control these parameters in the desired range. Sensors were placed to continuously monitor the field parameters such as temperature, humidity, sunlight, and soil moisture. All these parameters were remotely acquired using ZigBee to PC through myRIO boards. Fuzzy-based controllers were designed to operate the actuators to maintain the set point. The designed system on implementation was tested on a real-life model. The results show that the proposed technique maintained the parameters at the desired state and reduced human intervention and labor.