Articles
PHYTOMONITORING: A BRIDGE FROM SENSORS TO INFORMATION TECHNOLOGY FOR GREENHOUSE CONTROL
Article number
614_95
Pages
639 – 644
Language
English
Abstract
The Phytomonitoring information channel is based on several principles.
At first, a sample plant is the first sensitive element of the system, which interfaces with a crop as a control object.
Plant-related data are recorded in monitoring mode with the use of minimal rational set of sensors. Phytomonitoring methodology enables to elicit highly representative derivative characteristics of a crop from non-representative primary data of point monitoring.
These characteristics allow to detect many physiological disorders and to tune climate and irrigation control in greenhouses using trial-end-error approach.
Three categories of phytomonitoring-based information system have been developed and tested for tuning climate and irrigation control in greenhouses. – Task-specific decision-making algorithms with varied level of formalization; -Warning system, based on phytomonitoring indicators of plant physiological disorders; – Decision-support system, based on the trial-and-error method with various dynamic indicators of plant improvement and deterioration.
The Phytomonitoring constitutes a transition from facultative application of plant-related sensors to systematic information technology for greenhouse control.
At first, a sample plant is the first sensitive element of the system, which interfaces with a crop as a control object.
Plant-related data are recorded in monitoring mode with the use of minimal rational set of sensors. Phytomonitoring methodology enables to elicit highly representative derivative characteristics of a crop from non-representative primary data of point monitoring.
These characteristics allow to detect many physiological disorders and to tune climate and irrigation control in greenhouses using trial-end-error approach.
Three categories of phytomonitoring-based information system have been developed and tested for tuning climate and irrigation control in greenhouses. – Task-specific decision-making algorithms with varied level of formalization; -Warning system, based on phytomonitoring indicators of plant physiological disorders; – Decision-support system, based on the trial-and-error method with various dynamic indicators of plant improvement and deterioration.
The Phytomonitoring constitutes a transition from facultative application of plant-related sensors to systematic information technology for greenhouse control.
Publication
Authors
Y. Ton, M. Kopyt
Keywords
decision support, crop diagnostics, irrigation, climate control, stress
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