Detection of Biotic or Abiotic Stress in Vineyards Using Thermal and RGB Images Captured via IoT Sensors-Reference-Cited by-同舟云学术

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Detection of Biotic or Abiotic Stress in Vineyards Using Thermal and RGB Images Captured via IoT Sensors

Published:2023 Issue: Volume:11 Page:105902-105915
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Fevgas Georgios¹^ORCID,Lagkas Thomas¹^ORCID,Argyriou Vasileios²^ORCID,Sarigiannidis Panagiotis³^ORCID

Affiliation:

1. Department of Computer Science, International Hellenic University, Kavala, Greece

2. Department of Networks and Digital Media, Kingston University, Surrey, U.K

3. Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece

Funder

Hellenic Academic Libraries Link

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10265270.pdf?arnumber=10265270

Reference58 articles.

1. Spatio-temporal patterns of chlorophyll fluorescence and physiological and structural indices acquired from hyperspectral imagery as compared with carbon fluxes measured with eddy covariance

2. A Threshold Selection Method from Gray-Level Histograms

3. Proximal hyperspectral sensing and data analysis approaches for field-based plant phenomics

4. Use of thermal and visible imagery for estimating crop water status of irrigated grapevine

5. Development of a UAV-LiDAR System with Application to Forest Inventory

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