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• W2950334518 endingPage "104860" @default.
• W2950334518 startingPage "104860" @default.
• W2950334518 abstract "Abstract Innovations in irrigation water management are required to optimize agricultural water use in water stressed regions of the world, and physiological response of plants to water stress is an important criterion. Remotely sensed plant stress indicators, based on the visible and near-infrared spectral regions, provide an alternative to traditional field measurements of plant stress parameters, as this provides information about the spatial and temporal variability of crops and soil. The present study is a proof of concept on the feasibility of using narrow-band hyperspectral derived indices for monitoring water stress in tomato plants (Solanum Lycopersicum L.). Spectral reflectance data were acquired from tomato plants, with five different irrigation regimes namely 100, 80, 60, 40, and 20% of plant available water, in a completely randomized design. Also, plant water stress indicators including canopy temperature (Tc) and relative leaf water content (RWC), as well as volumetric soil moisture content (SMC) were concurrently measured with spectral data acquisition. Normalized Difference Vegetation Index (NDVI), Renormalized Difference Vegetation Index (RDVI), Optimized Soil Adjusted Vegetation Index (OSAVI), Photochemical Reflectance Index centered at 570 nm (PRI570), normalized PRI (PRInorm), Water Index (WI), and Normalized Water Index (NWI) were computed from the spectral data. The relationships between canopy reflectance and water stress indicators were analyzed at different water stress levels. The result showed that the PRI centered at 550 nm wavelength (PRI550), WI, OSAVI, and WI/NDVI were the most sensitive indices to distinguish water stress levels in tomato plants. This study provides an insight into the feasibility of using spectral vegetation indices to monitor water stress in tomato crops for precision irrigation water management." @default.
• W2950334518 created "2019-06-27" @default.
• W2950334518 creator A5049499485 @default.
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• W2950334518 date "2019-08-01" @default.
• W2950334518 modified "2023-10-16" @default.
• W2950334518 title "Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants" @default.
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• W2950334518 doi "https://doi.org/10.1016/j.compag.2019.104860" @default.
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