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Daily temperature optimisation in greenhouse by reinforcement learning
(2005)
The goal of this study is to show the usefulness of reinforcement learning (RL) to solve a common greenhouse climate optimisation problem. The problem is to minimise the daily heating cost while achieving simultaneously ...
Development of a bio-physical simulator for Mediterranean greenhouses
(2011)
The aim of this work was the development and validation of a biophysical model (BioSiGreT) by coupling a crop growth model and a greenhouse climate model. The crop growth model is a modification of TOMGRO to simulate ...
Validation of a tomato crop simulator for Mediterranean greenhouses
(2008)
The aim of this work is the validation of the adaptation of the TOMGRO tomato crop simulation to short term cropping technique and to Greek conditions. Indeed, a current practice in plastic greenhouses in the Mediterranean ...