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
收藏
页码：5314 / 5319
页数：6
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