Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction-Reference-Cited by-同舟云学术

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Next generation of computer vision for plant disease monitoring in precision agriculture: A contemporary survey, taxonomy, experiments, and future direction

Published:2024-04 Issue: Volume:665 Page:120338
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Ding Weiping^ORCID,Abdel-Basset Mohamed,Alrashdi Ibrahim^ORCID,Hawash Hossam

Publisher

Elsevier BV

Reference49 articles.

1. Computer vision and machine learning applied in the mushroom industry: A critical review;Yin;Comput. Electron. Agric.,2022

2. Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review;Lu;Comput. Electron. Agric.,2022

3. Applications of machine vision in agricultural robot navigation: A review;Wang;Comput. Electron. Agric.,2022

4. A review of imaging techniques for plant disease detection;Singh;Artif. Intell. Agric.,2020

5. Transformers in medical imaging: A survey;Shamshad;Med. Image Anal.,2023

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1. Computer vision for enhanced quantification of FEA of ballistic impact;International Journal of Mechanical Sciences;2024-12

2. GSE-YOLO: A Lightweight and High-Precision Model for Identifying the Ripeness of Pitaya (Dragon Fruit) Based on the YOLOv8n Improvement;Horticulturae;2024-08-12

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