Generating Accurate Crop Health Information Through Hyper Spectral Image Analysis-Reference-Cited by-同舟云学术

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Generating Accurate Crop Health Information Through Hyper Spectral Image Analysis

Published:2024-03-15 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Machine Learning Applications Theme: Healthcare and Internet of Things (AIMLA)
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Author:

Chauhan Aakriti¹,A Vyshnavi²,Garg Richa³

Affiliation:

1. Vivekananda Global University,Department of Agri-Business Management,Jaipur,India

2. JAIN (Deemed to be University),School of Mangement - UG,Department of Management,Bangalore,Karnataka,India

3. ARKA JAIN University,Department of Management,Jamshedpur,Jharkhand,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10531297/10531303/10531498.pdf?arnumber=10531498

Reference19 articles.

1. An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”

2. UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN

3. Deep learning techniques for hyperspectral image analysis in agriculture: A review

4. UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN

5. Automated Georectification, Mosaicking and 3D Point Cloud Generation Using UAV-Based Hyperspectral Imagery Observed by Line Scanner Imaging Sensors

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