LSTM-based model predictive control with discrete actuators for irrigation scheduling Article Swipe

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Bernard T. Agyeman , Soumya Ranjan Sahoo , Jinfeng Liu , Sirish L. Shah ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.ifacol.2022.07.466

The development of well-devised irrigation scheduling methods is desirable from the perspectives of plant quality and water conservation. In this article, a model predictive control (MPC) with discrete actuators is developed for irrigation scheduling, where a long short-term memory (LSTM) model of the soil-water-atmosphere system is used to evaluate the objective of ensuring optimal water uptake in crops while minimizing total water consumption and irrigation costs. A heuristic method involving a sigmoid function is used in this framework to enhance the computational efficiency of the scheduler. The scheduling scheme is applied to a homogeneous field and the results indicate that the LSTM-based MPC with discrete actuators is able to prescribe optimal or near-optimal irrigation schedules that are typical of irrigation practice.

Related Topics

Computer Science

Irrigation

Agricultural Engineering

Water Conservation

Engineering

Mathematics

Artificial Intelligence

Combinatorics

Ecology

Biology

Concepts

Irrigation scheduling Computer science Model predictive control Actuator Scheduling (production processes) Irrigation Homogeneous Mathematical optimization Low-flow irrigation systems Agricultural engineering Water conservation Control (management) Engineering Mathematics Artificial intelligence Combinatorics Ecology Biology

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ifacol.2022.07.466
OA Status: diamond
Cited By: 15
References: 24
Related Works: 10
OpenAlex ID: https://openalex.org/W4289878074

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DOI: https://doi.org/10.1016/j.ifacol.2022.07.466

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Title: LSTM-based model predictive control with discrete actuators for irrigation scheduling

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Language: en

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Publication year: 2022

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Publication date: 2022-01-01

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Authors: Bernard T. Agyeman, Soumya Ranjan Sahoo, Jinfeng Liu, Sirish L. Shah

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Landing page: https://doi.org/10.1016/j.ifacol.2022.07.466

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Concepts: Irrigation scheduling, Computer science, Model predictive control, Actuator, Scheduling (production processes), Irrigation, Homogeneous, Mathematical optimization, Low-flow irrigation systems, Agricultural engineering, Water conservation, Control (management), Engineering, Mathematics, Artificial intelligence, Combinatorics, Ecology, Biology

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Cited by: 15

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Citations by year (recent): 2025: 5, 2024: 2, 2023: 6, 2022: 2

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abstract_inverted_index.typical	117
abstract_inverted_index.article,	20
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abstract_inverted_index.function	72
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abstract_inverted_index.prescribe	109
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abstract_inverted_index.LSTM-based	101
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abstract_inverted_index.scheduler.	85
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abstract_inverted_index.conservation.	17
abstract_inverted_index.soil-water-atmosphere	43
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countries_distinct_count	1
institutions_distinct_count	4
corresponding_institution_ids	https://openalex.org/I154425047
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sustainable_development_goals[0].display_name	Clean water and sanitation
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