Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models-Reference-Cited by-同舟云学术

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Estimation of wheat biophysical variables through UAV hyperspectral remote sensing using machine learning and radiative transfer models

Published:2024-06 Issue: Volume:221 Page:108942
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Sahoo Rabi N.,Rejith R.G.,Gakhar Shalini,Verrelst Jochem,Ranjan Rajeev,Kondraju Tarun,Meena Mahesh C.,Mukherjee Joydeep,Dass Anchal,Kumar Sudhir,Kumar Mahesh,Dhandapani Raju,Chinnusamy Viswanathan

Funder

Indian Council of Agricultural Research

Publisher

Elsevier BV

Reference70 articles.

1. Comparison of crop trait retrieval strategies using UAV-based VNIR hyperspectral imaging;Abdelbaki;Remote Sens. (Basel),2021

2. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in beta vulgaris;Arnon;Plant Physiol.,1949

3. Rice leaf chlorophyll content estimation using UAV-based spectral images in different regions;Ban;Agronomy,2022

4. Evaluation of the PROSAIL model capabilities for future hyperspectral model environments: A review study;Berger;Remote Sens. (Basel),2018

5. Chemometric methods for spectroscopy-based pharmaceutical analysis;Biancolillo;Front. Chem.,2018

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