Campus Units

Industrial and Manufacturing Systems Engineering, Mechanical Engineering

Document Type

Article

Publication Version

Published Version

Publication Date

3-27-2017

Journal or Book Title

PLoS ONE

Volume

12

Issue

3

First Page

1

Last Page

18

DOI

10.1371/journal.pone.0174680

Abstract

Farmland management involves several planning and decision making tasks including seed selection and irrigation management. A farm-level precision farmland management model based on mixed integer linear programming is proposed in this study. Optimal decisions are designed for pre-season planning of crops and irrigation water allocation. The model captures the effect of size and shape of decision scale as well as special irrigation patterns. The authors illustrate the model with a case study on a farm in the state of California in the U.S. and show the model can capture the impact of precision farm management on profitability. The results show that threefold increase of annual net profit for farmers could be achieved by carefully choosing irrigation and seed selection. Although farmers could increase profits by applying precision management to seed or irrigation alone, profit increase is more significant if farmers apply precision management on seed and irrigation simultaneously. The proposed model can also serve as a risk analysis tool for farmers facing seasonal irrigation water limits as well as a quantitative tool to explore the impact of precision agriculture.

Comments

This article is from PLoS ONE 12 (2017): e0174680, doi:10.1371/journal.pone.0174680. Posted with permission.

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Copyright Owner

Li, et al.

Language

en

File Format

application/pdf

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