Modelling and simulation of agricultural production system based on IoT cultivated fields information

A stable continuous supply of products is required to improve consumers' quality of life; thus, the development of agricultural production systems has become critically important. In agriculture (cultivated fields), goods disposals or shortages can result from exceeding the consignment criteria owing to differences in the goods supplied and the amount in demand. In this research, we develop a numerical simulation based on cultivated field information derived from the Internet of Things to conduct an advanced business evaluation of the lack of stock and the crop loss due to uncertainty regarding the amount of produce harvested.