干旱区生态环境知识资源中心(Arid): Optimal production planning and machinery scheduling for semi-arid farms

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DOI	10.1016/j.compag.2021.106288
	Optimal production planning and machinery scheduling for semi-arid farms
	Vazquez, Daniel A. Zuniga; Fan, Neng; Teegerstrom, Trent; Seavert, Clark; Summers, Hailey M.; Sproul, Evan; Quinn, Jason C.
通讯作者	Fan, N (corresponding author), Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA.
来源期刊	COMPUTERS AND ELECTRONICS IN AGRICULTURE
ISSN	0168-1699
EISSN	1872-7107
出版年	2021
卷号	187
英文摘要	Scarce water resources have made production planning a key management decision in the agriculture sector, especially in arid and semi-arid regions. To address this issue, farmers can gradually adopt low-water-use crops, such as guar and guayule, which have great potential for the agricultural economy of the Southwestern U.S. The farmers' profits can be further increased by reducing machinery transportation costs through optimized scheduling. For such purpose, this paper introduces a farm production planning and machinery scheduling optimization model for perennial and non-perennial crops that maximizes the farmers' net present value. The optimization model allows for multi-crop production planning, multi-machinery scheduling, and crop rotation. To address the water scarcity problem in arid and semi-arid regions, perennial and non-perennial low-water-use crops can be considered in the crop rotation. Based on the Geographic Information System, the optimal scheduling routes are determined and the irrigation water requirements are analyzed. The resulting model yields a complex large-scale integer linear optimization problem. The model is assessed on two case studies, one for the guar crop (non-perennial) considering parcels located at the Cochran and Hockley counties in Texas and another case study for the guayule crop (perennial) considering parcels located in Pinal County in Arizona.
英文关键词	Crop rotation Low-water-use crops Machinery scheduling Production planning
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000696624000001
WOS关键词	OPTIMAL CROP ; WATER-USE ; HARVEST ; OPTIMIZATION ; ALLOCATION ; ALGORITHM ; RUBBER ; TIME ; MANAGEMENT ; MODEL
WOS类目	Agriculture, Multidisciplinary ; Computer Science, Interdisciplinary Applications
WOS研究方向	Agriculture ; Computer Science
来源机构	University of Arizona ; Colorado State University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/362897
作者单位	[Vazquez, Daniel A. Zuniga; Fan, Neng] Univ Arizona, Dept Syst & Ind Engn, Tucson, AZ 85721 USA; [Teegerstrom, Trent] Univ Arizona, Dept Agr & Resource Econ, Tucson, AZ USA; [Seavert, Clark] Oregon State Univ, Dept Appl Econ, Corvallis, OR 97331 USA; [Summers, Hailey M.; Sproul, Evan; Quinn, Jason C.] Colorado State Univ, Dept Mech Engn, Ft Collins, CO 80523 USA
推荐引用方式 GB/T 7714	Vazquez, Daniel A. Zuniga,Fan, Neng,Teegerstrom, Trent,et al. Optimal production planning and machinery scheduling for semi-arid farms[J]. University of Arizona, Colorado State University,2021,187.
APA	Vazquez, Daniel A. Zuniga.,Fan, Neng.,Teegerstrom, Trent.,Seavert, Clark.,Summers, Hailey M..,...&Quinn, Jason C..(2021).Optimal production planning and machinery scheduling for semi-arid farms.COMPUTERS AND ELECTRONICS IN AGRICULTURE,187.
MLA	Vazquez, Daniel A. Zuniga,et al."Optimal production planning and machinery scheduling for semi-arid farms".COMPUTERS AND ELECTRONICS IN AGRICULTURE 187(2021).