Model-based Irrigation Control using Model Predictive Control and DSSAT Crop Simulator
Author:
Affiliation:
1. Auburn University,Department of Chemical Engineering,Auburn,AL,USA,36849
2. Auburn University,Department of Crop, Soil, and Environmental Sciences,AL,USA,36849
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9866948/9867142/09867276.pdf?arnumber=9867276
Reference18 articles.
1. Model Predictive Control for Real-Time Irrigation Scheduling
2. A Data-Driven Real-Time Irrigation Control Method Based on Model Predictive Control
3. AquaCrop—The FAO Crop Model to Simulate Yield Response to Water: I. Concepts and Underlying Principles
4. Root zone soil moisture prediction models based on system identification: Formulation of the theory and validation using field and AQUACROP data
5. The DSSAT cropping system model
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1. Model-based smart irrigation control strategy and its effect on water use efficiency in tomato production;Cogent Engineering;2023-09-18
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