Internet of things based smart agriculture monitoring system for enhanced productivity

Abstract

Internet of Things (IOT) based smart agriculture monitoring system for enhanced productivity was designed to substitute human power  operation in monitoring the temperature, water supply and humidity of the crop environment to improve agricultural outputs. Tomato  farm was used as the demonstration farm for the study. Internet of Things (IoT) enables various applications, like pest control,  temperature sensing and soil nutrients determination. The Proteus Simulator, a model of smart farm using IoT was used for the study  and the data obtained from the model was graphically analyzed using MATLAB. From the results of the designed model and the graphs,  which were compared with results from a traditional tomato farm, it was observed that the IoT based smart farm increased the accuracy  in temperature and humidity measurement from below 20%, that was obtained in a traditional farm, to 95%, while improving response to  changes of both parameters from a number of times a day to instantaneous detection. The accuracy in measuring changes in soil  moisture increased from 20% to 98% and response from 30% to 95%. The accuracy and response to detecting the presence of an intruder  moved from 10% to 98%. These greatly ensure improvement in tomato production.