Harnessing hyperspectral imaging and machine learning for rubber tree nutrient management

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Harnessing hyperspectral imaging and machine learning for rubber tree nutrient management
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Rubber trees are essential for natural rubber, and require precise nutrient management. Traditional methods for assessing nutrient levels are expensive and destructive, but near-infrared (NIR) hyperspectral techniques offer a promising nondestructive alternative.

Harnessing hyperspectral imaging and machine learning for rubber tree nutrient management retrieved 18 March 2024 from https://phys.org/news/2024-03-harnessing-hyperspectral-imaging-machine-rubber.html

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