Model-based Irrigation Control using Model Predictive Control and DSSAT Crop Simulator

被引：0

作者：

Jang, Jisung ^{[1
]}

Tian, Di ^{[2
]}

He, Q. Peter ^{[1
]}

机构：

[1] Auburn Univ, Dept Chem Engn, Auburn, AL 36849 USA

[2] Auburn Univ, Dept Crop Soil & Environm Sci, Auburn, AL 36849 USA

来源：

2022 AMERICAN CONTROL CONFERENCE, ACC | 2022年

关键词：

FORMULATION;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Water usage for agricultural irrigation has seen an increasing trend due to climate change. As a result, model-based irrigation management has drawn increased research interest in recent years. In this work, a widely used crop simulator, the Decision Support System for Agrotechnology Transfer (DSSAT), is utilized to evaluate the performance of a model predictive control (MPC) based irrigation control scheme. The total irrigation amount from MPC is compared to the rule-based irrigation plan from DSSAT, which are further evaluated based on the crop yields from different irrigation plans.

引用

页码：5314 / 5319

页数：6

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