Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation

Supervisory Configuration of Deep Learning Networks for Plant Stress Detection and Synthetic Dataset Generation

In computer vision, plant stress detection involves the identification and classification of crop stresses. There are several approaches for the identification of green areas. The most recent approaches rely on machine-learning techniques or deep-learning networks to develop this task. Unfortunately...

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Bibliographic Details
Main Authors: J. Renan Velazquez-Gonzalez, Madain Perez-Patricio, J. A. de Jesus Osuna-Coutino, Jorge Luis Camas-Anzueto, Abiel Aguilar-Gonzalez, N. A. Morales-Navarro, Carlos A. Hernandez-Gutierrez
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Plant stress detection
plant stress classification
deep learning
visual pattern
Online Access:https://ieeexplore.ieee.org/document/10772165/
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https://ieeexplore.ieee.org/document/10772165/

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