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- W422281601 abstract "Abstract In the framework of a project aiming at the design and implementation of a decision making system for daily management of a greenhouse tomato production, the fundamental heuristic knowledge used in the determination of climatic setpoints is identified and articulated. This analysis pertains to modern greenhouses located in Mediterranean France and to winter productions of tomatoes. Since no comprehensive quantitative models of the crop and greenhouse systems are yet sufficiently developed for automated decision making purpose the underlying motivation behind this work is to come out with an adequate body of heuristic knowledge that can then be represented and used within an artificial intelligence approach. A key feature and novel aspect of the presented decision model stems from its integration of short term (three days) weather predictions that are worth considering in the southern France context in order to reduce the stress caused to plants by abrupt and important changes of weather. The exploitation for climate management purpose of the property that tomato plants act as efficient temperature integrators over a several day period (i.e. plants have “reservoir” capabilities) is considered. Chiefly, by enabling anticipatory decisions the intelligent use of predictions together with “reservoir” capabilities can potentially contribute in a significant manner to energy saving." @default.
- W422281601 created "2016-06-24" @default.
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- W422281601 date "1991-09-01" @default.
- W422281601 modified "2023-09-25" @default.
- W422281601 title "Analysis of knowledge involved in greenhouse climate management - Application to the determination of daily setpoints for a tomato crop" @default.
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- W422281601 doi "https://doi.org/10.1016/b978-0-08-041273-3.50051-3" @default.
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