Combining Recurrent Neural Network and Sigmoid Growth Models for Short-Term Temperature Forecasting and Tomato Growth Prediction in a Plastic Greenhouse

Combining Recurrent Neural Network and Sigmoid Growth Models for Short-Term Temperature Forecasting and Tomato Growth Prediction in a Plastic Greenhouse

Compared with open-field cultivation, greenhouses can provide favorable conditions for crops to grow through environmental control. The prediction of greenhouse microclimates is a way to reduce environmental monitoring costs. This study used several recurrent neural network models, including long sh...

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Bibliographic Details
Main Authors: Yi-Shan Lin, Shih-Lun Fang, Le Kang, Chu-Chung Chen, Min-Hwi Yao, Bo-Jein Kuo
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Horticulturae
Subjects:
greenhouse
temperature forecasting
recurrent neural network
sigmoid growth model
tomato
Online Access:https://www.mdpi.com/2311-7524/10/3/230

Internet

https://www.mdpi.com/2311-7524/10/3/230

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