Abstract
The performance of a greenhouse as a conventional unit depends on both controllable (e.g., air temperature) and uncontrollable (e.g., light energy input) parameters. Thus, unlike most industrial processes, it is necessary to monitor and allow for the variations in the latter to achieve a given rate or timeliness of crop production. The problem is aggravated by the three-dimensional nature of the greenhouse. Local internal spatial variations are likely to occur, and these can affect the overall performance of the harvest. The spatial nature of the greenhouse surface also strongly affects both the light input and heat loss characteristics. For example, low-elevation sunlight can produce ‘hot spots’ of light energy, due to reflection from the north roof of an E–W-aligned greenhouse, and it is well known that surface area to volume ratio affects heat loss from any object. Clearly then we have a very complicated system to analyze, control, and optimize.
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