Modelling and simulation of agricultural production system of multiple-crop rotation based on IoT cultivated field information

Abstract

It is becoming necessary for agriculture companies to deal with daily stable supplies for farm produces because customers who hope to achieve quality of life (QOL) in daily meal are getting increasing. Therefore, it is increasingly important to research and develop agricultural production systems to deal with daily stable supplies for farm produces. The amount of daily demands for the farm produces fluctuates because customer behaviors have fluctuations. The amount of daily supplies for the farm produces also fluctuates because makespans of the farm produces cultivated in fields have fluctuations. The makespan defines as the time difference between the start and finish of a sequence to harvest the farm produces. Therefore differences between the supply and the demand often occur. By occurring the fluctuations for the makespans, lack of stock and crop loss often occurs in the agriculture companies. The crop loss refers to situations in which goods that could have been consigned were not. This is due to the consignment criteria not being met because of issues such as time delays. In this research, we propose modelling and simulation of the agricultural production system to evaluate and reduce the lack of stock and crop loss due to the uncertainties surrounding the amount and units harvested and produce growth in the cultivated fields. We investigate cultivated field production processes to harvest the farm produces by a multiple-crop rotation. We also investigate various cultivated field data by IoT (Internet of Things) technologies. We propose a cultivated field production process model and crop growth prediction algorithm for application in our proposed simulation. We verify our proposed simulation through case studies.

Keywords

• agriculture production system
• modelling and simulation
• iot
• growth period
• baby leaves