Low-Cost Hyperspectral Imaging to Detect Drought Stress in High-Throughput Phenotyping

Recent developments in low-cost imaging hyperspectral cameras have opened up new possibilities for high-throughput phenotyping (HTP), allowing for high-resolution spectral data to be obtained in the visible and near-infrared spectral range. This study presents, for the first time, the integration of...

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Bibliographic Details
Published in:Plants (Basel) 2023-04, Vol.12 (8), p.1730
Main Authors: Genangeli, Andrea, Avola, Giovanni, Bindi, Marco, Cantini, Claudio, Cellini, Francesco, Grillo, Stefania, Petrozza, Angelo, Riggi, Ezio, Ruggiero, Alessandra, Summerer, Stephan, Tedeschi, Anna, Gioli, Beniamino
Format: Article
Language:English
Subjects:
Botanical research
Cameras
Crops
Dissertations & theses
Drought
drought stress
Droughts
Emission standards
Environmental impact
Experiments
Food quality
Food security
Fruits
Genetic aspects
Genotypes
Hardiness
high-throughput phenotyping
Hyperspectral imaging
hyperspectral index
Image segmentation
Information retrieval
Infrared spectra
Italy
Low cost
low-cost hyperspectral camera
Mass spectrometry
Near infrared radiation
optical sensor
Phenotyping
Physiological aspects
Plant growth
Plants
red-edge
Tomatoes
Trends
Unmanned aerial vehicles
Variance analysis
Varieties
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Summary:Recent developments in low-cost imaging hyperspectral cameras have opened up new possibilities for high-throughput phenotyping (HTP), allowing for high-resolution spectral data to be obtained in the visible and near-infrared spectral range. This study presents, for the first time, the integration of a low-cost hyperspectral camera Senop HSC-2 into an HTP platform to evaluate the drought stress resistance and physiological response of four tomato genotypes (770P, 990P, Red Setter and Torremaggiore) during two cycles of well-watered and deficit irrigation. Over 120 gigabytes of hyperspectral data were collected, and an innovative segmentation method able to reduce the hyperspectral dataset by 85.5% was developed and applied. A hyperspectral index (H-index) based on the red-edge slope was selected, and its ability to discriminate stress conditions was compared with three optical indices (OIs) obtained by the HTP platform. The analysis of variance (ANOVA) applied to the OIs and H-index revealed the better capacity of the H-index to describe the dynamic of drought stress trend compared to OIs, especially in the first stress and recovery phases. Selected OIs were instead capable of describing structural changes during plant growth. Finally, the OIs and H-index results have revealed a higher susceptibility to drought stress in 770P and 990P than Red Setter and Torremaggiore genotypes.
ISSN:2223-7747
2223-7747
DOI:10.3390/plants12081730