Energy efficient operation and modeling for greenhouses: A literature review
With growing food demand worldwide, controlled environment agriculture is an important
strategy for crop production year-round. One of the important types of controlled environment …
strategy for crop production year-round. One of the important types of controlled environment …
[HTML][HTML] Applications of artificial neural networks in greenhouse technology and overview for smart agriculture development
A Escamilla-García, GM Soto-Zarazúa… - Applied Sciences, 2020 - mdpi.com
This article reviews the applications of artificial neural networks (ANNs) in greenhouse
technology, and also presents how this type of model can be developed in the coming years …
technology, and also presents how this type of model can be developed in the coming years …
[HTML][HTML] Nonlinear adaptive PID control for greenhouse environment based on RBF network
S Zeng, H Hu, L Xu, G Li - Sensors, 2012 - mdpi.com
This paper presents a hybrid control strategy, combining Radial Basis Function (RBF)
network with conventional proportional, integral, and derivative (PID) controllers, for the …
network with conventional proportional, integral, and derivative (PID) controllers, for the …
An intelligent monitoring model for greenhouse microclimate based on RBF Neural Network for optimal setpoint detection
The greenhouse climate is a complex dynamic system that requires careful optimization to
achieve maximum plant growth with minimum energy consumption. The energy used by …
achieve maximum plant growth with minimum energy consumption. The energy used by …
Multiple neural control of a greenhouse
F Fourati - Neurocomputing, 2014 - Elsevier
In this paper an ART2 classifier is used to extract local models of a database taken from a
greenhouse. Once the clusters are formed, multilayer feed-forward neural networks are then …
greenhouse. Once the clusters are formed, multilayer feed-forward neural networks are then …
[HTML][HTML] 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 …
crops to grow through environmental control. The prediction of greenhouse microclimates is …
Neuron adaptive PID control for greenhouse environment
W Wang, L Xu, H Hu - Journal of Industrial and Production …, 2015 - Taylor & Francis
In this article, a single neuron adaptive proportional, integral, and derivative (PID) control
scheme is proposed for a greenhouse environment control problem by employing Hebb …
scheme is proposed for a greenhouse environment control problem by employing Hebb …
[HTML][HTML] Estimation of greenhouse tomato foliage temperature using DNN and ML models
Since leaf temperature (LT) is not a trivial measurement, deep-neural networks (DNN) and
machine learning (ML) models were evaluated in this study as tools for estimating foliage …
machine learning (ML) models were evaluated in this study as tools for estimating foliage …
Model-based predictive greenhouse parameter control of aquaponic system
The effectiveness of an aquaponic system significantly relies on the habitat provided for both
the fish and plants. As an integral component of aquaponics, hydroponic cultivation benefits …
the fish and plants. As an integral component of aquaponics, hydroponic cultivation benefits …
Dynamic neural network modeling of thermal environments of two adjacent single-span greenhouses with different thermal curtain positions
In order to produce marketable yield, scientific methodologies must be used to forecast the
greenhouse microclimate, which is affected by the surrounding macroclimate and crop …
greenhouse microclimate, which is affected by the surrounding macroclimate and crop …