Estimation of Phosphorus Content in Leaves of Plants using PLSR and SVMR: A Review

sushma guthe


Phosphorus is one of the foremost necessary organic chemistry elements of plant organic matter and thus, estimation of their content will facilitate monitor the metabolism method and health of plants. Spectral coefficient values of leaves obtained by visible-near infrared spectrophotometry are reported to be a robust tool for the diagnosing of plant nutritionary standing. This study aimed to match Partial least squares Regression (PLSR) method and Support Vector Machine Regression (SVMR) method ways for estimating phosphorus contents gift in leaves of numerous plants exploitation laboratory-based visible and near-infrared (Vis-NIR) coefficient qualitative analysis. This paper states the work that is done on different crops at different places to observe the phosphorus content in crop leaves.

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