Abstract

The attainment of smart sustainable production of energy is the goal, which is being pursued globally. In the field of agricultural system, several challenges are present and as well, it is combined with the climatic crises. In general, the renewable energy resources is the origin of energy production and consumption so that using this energy source it is possible to improve the ecologically and social agriculture. Due to the expansion of renewable energy, the concept of Agrivoltaic System is created which convert the food production to energy generation process. Currently many of the research are developed to increase the crop yield and energy production. In this article, we concentrate on intelligent farming in agrivoltaic system with the help of Internet of Agricultural Things (IoAT). It focuses on newer preliminary methods like fluid dynamic system, improved photovoltaic (PV) module, land equivalent ratio analysis and shading ratio calculation. In IoAT, based system, crop field analysis, energy production model, sensor localization process, cost optimization and fault diagnosis processes are concentrated. So that the effective outcomes are attained in the cultivation of crops like melon, bean, millet, and cucumber. The parameters, which are calculated in the results analysis, are shading ratio and temperature, crops-based analysis, and energy-based analysis. With the help of IoAT system both, the crop yield and electricity production is increased.