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http://dx.doi.org/10.5532/KJAFM.2019.21.4.373

Improving and Validating a Greenhouse Tomato Model "GreenTom" for Simulating Artificial Defoliation  

Kim, Yean-Uk (Research Institute of Agriculture and Life Sciences, Seoul National University)
Kim, Jin Hyun (Protected Horticulture Research Institute, National Institute of Horticultural & Herbal Science)
Lee, Byun-Woo (Research Institute of Agriculture and Life Sciences, Seoul National University)
Publication Information
Korean Journal of Agricultural and Forest Meteorology / v.21, no.4, 2019 , pp. 373-379 More about this Journal
Abstract
Smart-farm has been spreading across Korea to improve the labor efficiency and productivity of greenhouse crops. Although notable improvements have been made in the monitoring technologies and environmental-controlling systems in greenhouses, only a few simple decision-support systems are available for predicting the optimum environmental conditions for crop growth. In this study, a tomato growth model (GreenTom), which was developed by Seoul National University in 1997, was calibrated and validated to examine if the model can be used as a decision-supporting system. The original GreenTom model was not able to simulate artificial defoliation, which resulted in overestimation of the leaf area index in the late growth. Thus, an algorithm for simulating the artificial defoliation was developed and added to the original model. The node development, leaf growth, stem growth, fruit growth, and leaf area index were generally well simulated by the modified model indicating that the model could be used effectively in the decision-making of smart greenhouse.
Keywords
Tomato; Growth model; Defoliation; Smart-farm;
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