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In plants, chlorophyll content (CC) is an important indicator of photosynthetic activity, stress, and nutritional status. In this study, hyperspectral indices were used to create a neural network model to detect subtle variations in leaf chlorophyll content of rice under heavy metal stress. We selected four experiment rice farmlands with different levels of heavy metal contamination. The four sites...
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