Author(s)

Caicong Wu^1,2, Peng Qiao¹, Jing Zhao¹, Jie Wang¹, Yaping Cai³

¹College of Information and Electrical Engineering, China Agricultural University, Beijing, China.
²Department of Soil & Crop Sciences, Texas A&M University, College Station, USA.
³Department of Geography and Geographic Information Science, UIUC, Champaign, USA.

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.

Cotton-Picker, Operation Scheduling, Model, System, BeiDou

Wu, C. , Qiao, P. , Zhao, J. , Wang, J. and Cai, Y. (2016) Evaluating Model and BeiDou Based Management System for Scale Operation of Cotton-Pickers. Positioning, 7, 21-31. doi: 10.4236/pos.2016.71002.