Abstract
For scale cotton-picker operation, combination of production resources including field, machine, and drivers, should be organized reasonably both in temporal and spatial dimensions. Xinjian Agri. is such a scale cotton picking service company, which owns more than 400 cotton-pickers, hires nearly 1000 personnel, and works for more than ten big farms each season. The total operation area is about 90,000 ha. In this paper, a Cotton-picker Operation Scheduling & Monitoring System (CPOSMS) was developed for Xinjian Agri. CPOSMS is a WebGIS and BeiDou based management software, which includes four main function modules. Overall scheduling module aims to help the company to create machine fleets for the farms based on operation demands and operation capacity. A real-time evaluation model was studied to adjust the rationality. Local scheduling module is to dispatch machines and personnel to form machine unit. Central navigating module is to guide staff to specific field. Operation monitoring module is to monitor and analyze operation process. Experiments in 2015 showed that the CPOSMS is the necessary tool for the company, and the evaluation model and BeiDou based system can improve management efficiency.
Highlights
Overall scheduling, dispatching, navigating, and monitoring are quite important for bigsocial service companiesHow to cite this paper: Wu, C.C., Qiao, P., Zhao, J., Wang, J. and Cai, Y.P. (2016) Evaluating Model and BeiDou Based Management System for Scale Operation of Cotton-Pickers
Xinjiang Xinjian Modern Agricultural Engineering Development Co., Ltd. (Xinjian Agri.) is such a company which owns more than 400 cotton-pickers of CASE IH and John Deere, and nearly half of cotton area of Shihezi, Xinjiang, is harvested by the company
Since the amount of cotton-picker is numerous, the real time evaluation model is useful for the overall operation scheduling
Summary
Overall scheduling, dispatching, navigating, and monitoring are quite important for bigsocial service companies. GNSS based fleet management and farm management software, such as Connected Farm of Trimble, Telematics of CLAAS, AFS Connect of CASE IH, SMS of AgLeader, Farm Sight of John Deere, is gradually used by farmers in developed countries [18] This kind of WebGIS based software can manage field, crop, and machines, and help farmers to improve their productivities. In face of the management and schedule requirements of Xinjian Agri., the authors designed and developed a Cotton-Picker Operation Scheduling & Monitoring System (CPOSMS), in order to help the company to schedule combination of production factors effectively and fairly, and support mobile management in the farm. The CPOSMS just encourages managers to schedule machines and personnel, and evaluates the decisions in real-time, in order to improve scheduling efficiency and accuracy
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