A feedback control method for plant factory environment based on photosynthetic rate prediction model-Reference-Cited by-同舟云学术

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A feedback control method for plant factory environment based on photosynthetic rate prediction model

Published:2023-08 Issue: Volume:211 Page:108007
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Wang Hao,Meng Xiangyu,Chen Zerui,Zhang Xihai,Cheng Ruifeng,Zhang Yi,Li Wei,Song Weixian,Zhang Yu

Funder

National Natural Science Foundation of China

Agricultural Science and Technology Innovation Program

Central Public-interest Scientific Institution Basal Research Fund, Chinese Academy of Fishery Sciences

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference33 articles.

1. Optimal control of environmental conditions affecting lettuce plant growth in a controlled environment with artificial lighting: A review;Ahmed;S. Afr. J. Bot.,2020

2. Construction of a photosynthetic rate prediction model for greenhouse strawberries with distributed regulation of light environment;Chen;Math. Biosci. Eng.,2022

3. Smart greenhouse control under harsh climate conditions based on data-driven robust model predictive control with principal component analysis and kernel density estimation;Chen;J. Process Control,2021

4. Robust closed-loop control of vegetable production in plant factory;Deng;Comput. Electron. Agric.,2018

5. A novel methodology for the monitoring of the agricultural production process based on wireless sensor networks;Diaz;Comput. Electron. Agric.,2011

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2. An improved adaptive data rate algorithm of LoRaWAN for agricultural mobile sensor nodes;Computers and Electronics in Agriculture;2024-04

3. Easy Planting with Distributed Cellular Plant Factory^*;2024 Australian & New Zealand Control Conference (ANZCC);2024-02-01

4. Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications: A Survey;IEEE Access;2023

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