IoT based smart agrotech system for verification of Urban farming parameters

Abstract

The recent seen intelligent technologies like the internet of things (IoT), computer vision etc. facilitates farming activities and also provides flexible farm operations. On the other side, farming has become feasible even in urban areas, especially building roofs, open gardens, and indoor agriculture. In this context, farm management and appropriate monitoring of farm parameters are now indispensable for productive farming in smart cities or rural areas. In this paper, an IoT based Smart AgroTech system is proposed in the context of urban farming that considers humidity, temperature, and soil moisture as necessary farming parameters. The proposed system decides whether the irrigation action should begin or stop depending on the farming land condition and provides the monitoring facility and remote control to the farm owner. The system's reliability is verified by determining the error percentage between actual data and observed data at different observations. The average error rate for humidity and soil moisture is below 3% and for temperature is below 1.5%. The system ascertains a feasible Smart AgroTech system that provides advantages to the farming activities in future cities than other conventional methods.