Ultra-high-resolution hyperspectral imagery datasets for precision agriculture applications

Author:

Munipalle Vamshi Krishna,Nelakuditi Usha Rani,C.V.S.S. Manohar Kumar,Nidamanuri Rama RaoORCID

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Reference9 articles.

1. VineLiDAR: high-resolution UAV-LiDAR vineyard dataset acquired over two years in northern Spain;Sergio;Data Br.,2023

2. Visible – Near infrared hyperspectral dataset of healthy and infected apple tree leaves images for the monitoring of apple fire blight;Belal;Data Br.,2023

3. Dataset containing spectral data from hyperspectral imaging and sugar content measurements of grapes berries in various maturity stage;Maxime;Data Br.,2023

4. SpectroFood dataset: a comprehensive fruit and vegetable hyperspectral meta-dataset for dry matter estimation';Malounas;Data Br.,2024

5. Effect of different rates of nitrogen fertilization on crop yield, soil properties and leaf physiological attributes in banana under subtropical regions of China;Sun;Front. Plant Sci.,2020

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