Multisource neural network feature map fusion: An efficient strategy to detect plant diseases

Author:

Heller GuillaumeORCID,Perrin Eric,Vrabie Valeriu,Dusart Cedric,Panon Marie-Laure,Loyaux Marie,Le Roux Solen

Funder

Association Nationale de la Recherche et de la Technologie

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference38 articles.

1. A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools;Ahmad;Smart Agricultural Technology,2023

2. Albetis de la Cruz, J.L. (2018). Potentiel des images multispectrales acquises par drone dans la détection des zones infectées par la flavescence dorée de la vigne [These de doctorat, Toulouse 3]. https://www.theses.fr/2018TOU30157.

3. Fast explicit diffusion for accelerated features in nonlinear scale spaces;Alcantarilla,2013

4. Multispectral band selection for imaging sensor design for vineyard disease detection: Case of Flavescence Dorée;Al-Saddik;Advances in Animal Biosciences,2017

5. Asif, U., Tang, J., & Harrer, S. (2020). Ensemble knowledge distillation for learning improved and efficient networks (arXiv:1909.08097). arXiv. https://doi.org/10.48550/arXiv.1909.08097.

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1. Utilizing color analysis and image processing for the assessment of the color of block para rubber;Measurement;2024-10

2. Study and Analysis of Plant Disease Identification Models;2024 International Conference on Integrated Circuits, Communication, and Computing Systems (ICIC3S);2024-06-08

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