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- W3161538822 abstract "There is growing demand for premium and safe agricultural products. Greenhouses and plant factories which are types of protected cultivation system are being adopted to meet demand. This is because of ease in regulating the climate required for optimal plant growth which can facilitate year-round cultivation of these agriculture products and many other numerous benefits. However, poor ventilation in greenhouses can be harmful to the human workforce. This has led to the development of robots for hazardous tasks. However, mobile robots are required to navigate down every aisle to perform a task in a greenhouse, and it is difficult to predict at which point the robot will need to return to the start point, to offload or refill for transportation and spraying schedules, respectively or battery charges. This necessitates optimal scheduling of robots. In this study, we formulated the robot scheduling problem and adopted and tunned an evolutionary algorithm to solve this problem using MATLAB software. We performed simulations of different robot working scenarios integrating various parameters. Different scheduling scenarios showed varied patterns. Initial state of charge of the robot batteries impacted the working state of the robots. For examples, where the robots had fixed rates of charge and discharge of 5%, there were also more continuously working hours of robots in the two studied cases. A system for optimal scheduling of robots in a greenhouse to maximize the total work hours and sustain continuous operation was developed and proposed." @default.
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- W3161538822 date "2020-01-01" @default.
- W3161538822 modified "2023-10-11" @default.
- W3161538822 title "Optimal robot utilization in protected cultivation systems" @default.
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