Deep interpretable architecture for plant diseases classification

Deep interpretable architecture for plant diseases classification

31 May 2019

Mohammed Brahimi

Said Mahmoudi

Papers citing "Deep interpretable architecture for plant diseases classification"

5 / 5 papers shown

Title
Concept explainability for plant diseases classification Jihen Amara B. König-Ries Sheeba Samuel FAtt 21 2 0 15 Sep 2023
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series Data Yue Shi Liangxiu Han Pablo González-Moreno Darren Dancey Wenjiang Huang Zhiqiang Zhang Yuanyuan Liu Mengning Huang Hongfu Miao Min Dai 18 2 0 29 Jun 2023
Achieving Explainability for Plant Disease Classification with Disentangled Variational Autoencoders Harshana Habaragamuwa Y. Oishi Kenichi Tanaka 14 7 0 05 Feb 2021
Plant Diseases recognition on images using Convolutional Neural Networks: A Systematic Review A. Abade P. Ferreira Flávio de Barros Vidal 30 207 0 09 Sep 2020
Usefulness of interpretability methods to explain deep learning based plant stress phenotyping Koushik Nagasubramanian Asheesh K. Singh Arti Singh Soumik Sarkar Baskar Ganapathysubramanian FAtt 19 16 0 11 Jul 2020