The present project tested a model predicting the dynamic ambient greenhouse air conditions maximizing a tomato crop yield value less the energy cost. For simpli"cation, this yield value less energy cost is referred to as net pro"ts. Net pro"ts were equated to crop yield value, computed from the dyn
SE—Structures and Environment: A Strategy for Greenhouse Climate Control, Part I: Model Development
✍ Scribed by M. Trigui; S. Barrington; L. Gauthier
- Publisher
- Elsevier Science
- Year
- 2001
- Tongue
- English
- Weight
- 226 KB
- Volume
- 78
- Category
- Article
- ISSN
- 0021-8634
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✦ Synopsis
This paper presents an algorithm developed to predict the dynamic ambient greenhouse air conditions which optimize net pro"ts for the production of a greenhouse tomato crop. Pro"ts are equated to the crop yield value less the energy costs for heating and dehumidi"cation and the CO injection cost. The climatic conditions considered are CO level, temperature, relative humidity and incident radiation. These are varied dynamically for every time interval spanning the harvesting period.
The algorithm has two sub-programs. For sets of selected internal climatic parameters, the "rst calculates crop yield, and the second calculates energy costs (heating and dehumidi"cation) with reference to predicted exterior climatic conditions (solar radiation, temperature, wind velocity and relative humidity). These two algorithms are then used to predict the particular set of climatic parameters, adjusted for each time interval over the harvesting period, that will maximize the crop yield value less the energy costs.
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