In this study, we explored the ability of three-band vegetation indices to discriminate wheat infected by yellow rust in different growth stages according to ...
Dec 21, 2018 · We conclude that the three-band spectral indices PRI (570, 525, 705) and ARI (860, 790, 750) are optimal for monitoring yellow rust infection in ...
Dec 18, 2018 · We conclude that the three-band spectral indices PRI (570, 525, 705) and ARI (860, 790, 750) are optimal for monitoring yellow rust infection in ...
The optimal spectral index for estimating wheat infected by yellow rust disease was PRI (570, 525, 705) during the early-mid growth stage with R2 of 0.669, and ...
We investigated the feasibility of identifying yellow rust on wheat leaves using spectral features and textural features (TFs) of hyperspectral images.
We evaluated the new index and compared it with 11 commonly used yellow rust detection indices using experimental leaf- and canopy-scale spectral datasets.
Jun 28, 2024 · We investigated the feasibility of identifying yellow rust on wheat leaves using spectral features and textural features (TFs) of hyperspectral ...
Identification of Wheat Yellow Rust Using Optimal Three-Band Spectral Indices in Different Growth Stages · Q. ZhengWenjiang Huang +4 authors. Linyi Liu.
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Apr 21, 2023 · Identification of Wheat Yellow Rust Using Optimal Three-Band. Spectral Indices in Different Growth Stages. Sensors 2019, 19, 35. [CrossRef].
This study proposes sensitive wavelet features (WFs) for wheat yellow rust monitoring based on unmanned aerial vehicle hyperspectral imagery of different ...