Εμφάνιση απλής εγγραφής

dc.creatorKatsoulas N., Elvanidi A., Ferentinos K.P., Kacira M., Bartzanas T., Kittas C.en
dc.date.accessioned2023-01-31T08:34:02Z
dc.date.available2023-01-31T08:34:02Z
dc.date.issued2016
dc.identifier10.1016/j.biosystemseng.2016.10.003
dc.identifier.issn15375110
dc.identifier.urihttp://hdl.handle.net/11615/74662
dc.description.abstractMultisensory platforms for remote sensing measurements offer the possibility to monitor in real-time the crop health status without affecting the crop and environmental conditions. The concept of the speaking plant approach, and plant response based sensing in general, could be valuable providing a better understanding of the interactions between the microclimate and the physical conditions of the plants. Early detection of plant stress is critical, especially in intensive production systems, in order to minimise both acute and chronic loss of productivity. Non-contact and non-destructive sensing techniques can continuously monitor plants and enable automated sensing and control capabilities. This paper reviews past research and recent advances regarding the sensors and approaches used for crop reflectance measurements and the indices used for crop water and nutrient status detection. The most practical and effective indices are those based on ground reflectance sensors data which are evaluated in terms of their efficiency in detecting plant water status under greenhouse conditions. Some possible applications of this approach are summarised. Although crop reflectance measurements have been widely used under open field conditions, there are several factors that limit the application of reflectance measurements under greenhouse conditions. The most promising type of sensors and indices for early stress detection in greenhouse crops are presented and discussed. Future research should focus on real time data analysis and detection of plant water stress using advanced data analysis techniques and to the development of indices that may not be affected by plant microclimate. © 2016 IAgrEen
dc.language.isoenen
dc.sourceBiosystems Engineeringen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84994291519&doi=10.1016%2fj.biosystemseng.2016.10.003&partnerID=40&md5=cf9099a0b7b2b3afeaf65bd0b673d1d4
dc.subjectData handlingen
dc.subjectForestryen
dc.subjectGreenhousesen
dc.subjectInformation analysisen
dc.subjectNutrientsen
dc.subjectPlants (botany)en
dc.subjectReflectionen
dc.subjectReflectometersen
dc.subjectRemote sensingen
dc.subjectStressesen
dc.subjectData analysis techniquesen
dc.subjectEnvironmental conditionsen
dc.subjectNutrient statusen
dc.subjectReal time data analysisen
dc.subjectReflectance indexen
dc.subjectSpeaking plant approachen
dc.subjectVegetation indexen
dc.subjectWater statusen
dc.subjectCropsen
dc.subjectAcademic Pressen
dc.titleCrop reflectance monitoring as a tool for water stress detection in greenhouses: A reviewen
dc.typeotheren


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