Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review. (November 2016)

• Record Type: Journal Article
• Authors: Katsoulas, Nikolaos; Elvanidi, Angeliki; Ferentinos, Konstantinos P.; Kacira, Murat; Bartzanas, Thomas; Kittas, Constantinos
• Is Part Of: Biosystems engineering. Volume 151(2016:Nov.)
• Page Start: 374
• Page End: 398
• Publication Date: 2016-11
• Subjects: Reflectance index -- Vegetation indices -- Remote sensing -- Water status -- Nutrient status; Bioengineering -- Periodicals; Agricultural engineering -- Periodicals; Biological systems -- Periodicals; Génie rural -- Périodiques; Systèmes biologiques -- Périodiques; 631
• DOI: 10.1016/j.biosystemseng.2016.10.003
• Languages: English
• ISSNs: 1537-5110

Abstract

Abstract : Multisensory 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. Highlights: Challenges detecting water status in greenhouses by remote sensing presented. Sensors available for reflectance sensing and applications are discussed. Effects of environmental, canopy structure and other parameters discussed. Possible solutions to mitigate the effects of those parameters are suggested. Future perspectives for real time monitoring in greenhouses are presented.