Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models

Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models

Conventional methods of plant nutrient estimation for nutrient management need a huge number of leaf or tissue samples and extensive chemical analysis, which is time-consuming and expensive. Remote sensing is a viable tool to estimate the plant’s nutritional status to determine the appropriate amoun...

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Bibliographic Details
Main Authors: Gopal Ramdas Mahajan, Bappa Das, Dayesh Murgaokar, Ittai Herrmann, Katja Berger, Rabi N. Sahoo, Kiran Patel, Ashwini Desai, Shaiesh Morajkar, Rahul M. Kulkarni
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Remote Sensing
Subjects:
chemometrics
hyperspectral remote sensing
multivariate modeling
precision nutrient management
VNIR spectroscopy
Online Access:https://www.mdpi.com/2072-4292/13/4/641

Internet

https://www.mdpi.com/2072-4292/13/4/641

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