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| Precise scheduling of Beidou agricultural machinery based on combination of genetic algorithm and WiFi clustering algorithm |
| 1. School of Information and Computer, Anhui Agricultural University， Hefei， Anhui 230036， China； 2. Anhui Beidou Precision Agriculture Information Engineering Laboratory, Anhui Agricultural University， Hefei， Anhui 230036， China |
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Abstract To achieve efficient dispatching of agricultural machinery in China during the farming season and ensure the successful completion of farming operations, the precise scheduling of Beidou agricultural machinery was designed based on the combination of genetic algorithm and WiFi clustering algorithm. In the designed scheme，the soil moisture data was firstly collected according to the internet of things technology to predict in advance whether the field needed agricultural machinery. By Beidou satellite navigation， the job field and the agricultural machinery were located to obtain the position information, and the GIS technology was used to calculate the trajectory. Through the genetic algorithm， the iterative deduction of agricultural machinery and farmland in a region was simulated to screen out the optimal agricultural machinery scheduling. According to the schedule ， the farmer's operation needs were accurately and quickly solved. Under the no-signal environment, the agricultural machinery was positioned by the WiFi clustering algorithm to master the situation of agricultural machinery.The results show that the scheme is simple, easy to use, efficient, convenient and adaptable. It can help the local agricultural machinery stations to accurately dispatch agricultural machinery and improve the informationization and modernization level of Chinese agriculture to accelerate the process of agricultural modernization.
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Received: 26 December 2019
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2020, Vol. 41 
