WSN-based information dissemination for optimizing irrigation through prescriptive farming

Abstract

Prescriptive agriculture is the art of science utilizing modern technology to enhance productivity with optimizing inputs/cost. In this paper, the advent of wireless sensor network, APSim, and statistical software spurred a new direction in the farming domain at optimizing irrigation. Sensors are designed to collect the datasets of climatic parameters such as relative humidity and temperature, where the datasets were forwarded to the server through a GSM module. Datasets collected were analyzed through statistical software for grown crops by considering field soil conditions and evapotranspiration. Finally, information on irrigation is determined through an algorithm designed by way2SMS and WebHost server.