Journal ArticleDOI
Evaluation of plant seedling water stress using dynamic fluorescence index with blue LED-based fluorescence imaging
Shih-Chieh Hsiao,Suming Chen,I-Chang Yang,Chia-Tseng Chen,Chao-Yin Tsai,Yung-Kun Chuang,Feng-Jehng Wang,Yu-Liang Chen,Tzong-Shyan Lin,Y. Martin Lo +9 more
TLDR
In this paper, a dynamic fluorescence image index system capable of non-destructive assessment of water stress in cabbage seedlings was developed, where the quenching curves of chlorophyll fluorescence characteristic to the plant's water stress status under reduced excitation energy were acquired via a multispectral imaging system.About:
This article is published in Computers and Electronics in Agriculture.The article was published on 2010-07-01. It has received 29 citations till now. The article focuses on the topics: Chlorophyll fluorescence & Laser-induced fluorescence.read more
Citations
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Journal ArticleDOI
Crop reflectance monitoring as a tool for water stress detection in greenhouses: A review
Nikolaos Katsoulas,A. Elvanidi,Konstantinos P. Ferentinos,Murat Kacira,Thomas Bartzanas,Constantinos Kittas +5 more
TL;DR: In this article, 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.
Journal ArticleDOI
Phenotyping of Arabidopsis Drought Stress Response Using Kinetic Chlorophyll Fluorescence and Multicolor Fluorescence Imaging.
TL;DR: The results demonstrated that the combination of kinetic chlorophyll fluorescence and multicolor fluorescence imaging with the machine learning technique was capable of providing comprehensive information of drought stress effects on the photosynthesis and the secondary metabolisms.
Journal ArticleDOI
Applications of precision agriculture in horticultural crops
TL;DR: In this paper, the authors present a cyclic system of data collection and localisation, data analysis, management decisions on applications, evaluation of management decisions, and then a new cycle starts.
Journal ArticleDOI
Effects of drought stress on chlorophyll a fluorescence in two rubber tree clones
Antelmo Ralph Falqueto,Roque Alves da Silva Júnior,Marcos Thiago Gaudio Gomes,João Paulo Rodrigues Martins,Diolina Moura Silva,Fábio Luiz Partelli +5 more
TL;DR: The RRIM600 rubber clone showed an advantage over the FX3864 clone in terms of stability and efficiency in utilizing energy in low rainfall sites and showed a deficiency in photosynthetic electron transport following water deficit.
Journal ArticleDOI
Effect of Water Deficit Stress on Seedling Biomass and Physio-Chemical Characteristics in Different Species of Wheat Possessing the D Genome
Alireza Pour-Aboughadareh,Mansoor Omidi,Mohammad Reza Naghavi,Alireza Etminan,Ali Ashraf Mehrabi,Péter Poczai,Hamid Bayat +6 more
TL;DR: Correlation analysis and PCA-based biplots showed that stress tolerance index (STI) is significantly associated with Fv/Fm and Fv-Fo under water stress conditions, suggesting that these are the best parameters to evaluate when screening for tolerant samples at the seedling stage.
References
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Journal ArticleDOI
The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field
TL;DR: In this paper, the stomatal conductance of illuminated leaves is a function of current levels of temperature, vapour pressure deficit, leaf water potential (really turgor pressure) and ambient CO $_2$ concentration and when plotted against any one of these variables a scatter diagram results.
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Canopy temperature as a crop water stress indicator
TL;DR: In this paper, a crop water stress index (CWSI) was calculated using infrared thermometry, along with wet and dry-bulb air temperatures and an estimate of net radiation.
Journal ArticleDOI
Detection of changes in leaf water content using Near- and Middle-Infrared reflectances
E. Raymond Hunt,Barrett N. Rock +1 more
TL;DR: In this paper, the ability of the Leaf Water Content Index (LWCI) to determine leaf relative water content (RWC) is tested on species with different leaf morphologies.
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Detecting vegetation leaf water content using reflectance in the optical domain
TL;DR: In this paper, the authors investigated the potential and approaches for using optical remote sensing to assess vegetation water content at the leaf level using laboratory measurements, the radiative transfer model PROSPECT and a sensitivity analysis.