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Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

A farm-level precision land management framework based on integer programming.

Qi Li¹, Guiping Hu¹, Talukder Zaki Jubery²

¹Department of Industrial and Manufacturing Systems Engineering, Iowa State University, Ames, Iowa, United States of America.

|March 28, 2017

Summary

This summary is machine-generated.

Precision farmland management, integrating seed selection and irrigation, can triple farmer profits. Simultaneous application of precision techniques for both yields more significant financial gains than individual use.

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Watershed Planning within a Quantitative Scenario Analysis Framework

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Published on: July 24, 2016

Area of Science:

Agricultural Economics
Operations Research
Agronomy

Background:

Farmland management requires complex planning for tasks like seed selection and irrigation.
Optimizing these decisions is crucial for farm profitability and resource allocation.

Purpose of the Study:

To propose a farm-level precision farmland management model using mixed integer linear programming.
To determine optimal pre-season crop planning and irrigation water allocation strategies.

Main Methods:

Development of a mixed integer linear programming model for precision farmland management.
Incorporation of decision scale effects (size, shape) and specific irrigation patterns.
Case study application on a California farm to assess profitability impacts.

Main Results:

Precision management in seed selection and irrigation can lead to a threefold increase in annual net profit.
Simultaneous precision application on both seed and irrigation yields greater profit increases than individual applications.
The model effectively captures the impact of precision farm management on profitability.

Conclusions:

Integrated precision management of seed and irrigation offers substantial economic benefits for farmers.
The proposed model serves as a valuable tool for risk analysis concerning water limits and exploring precision agriculture impacts.