Adaptive and predictive decision support system for irrigation scheduling: An approach integrating humans in the control loop-Reference-Cited by-同舟云学术

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Adaptive and predictive decision support system for irrigation scheduling: An approach integrating humans in the control loop

Published:2024-02 Issue: Volume:217 Page:108640
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Conde Gregory^ORCID,Guzmán Sandra M.^ORCID,Athelly Akshara^ORCID

Funder

USDA

University of Florida

Natural Resources Conservation Service

Publisher

Elsevier BV

Reference44 articles.

1. Adaptive Control;Åström,2008

2. Evapotranspiration rates of three sweet corn cultivars under different irrigation levels;Bayabil;HortTechnology,2023

3. Positive Definite Matrices;Bhatia,2015

4. Potential impacts of climate change on vegetable production and product quality – A review;Bisbis;J. Clean. Prod.,2018

5. Data loggers, CR1000X model;Campbell,2023

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1. Using singular spectrum analysis and empirical mode decomposition to enhance the accuracy of a machine learning-based soil moisture forecasting algorithm;Computers and Electronics in Agriculture;2024-09

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