Diagnosis of Apple Fruit Diseases in the Wild with Mask R-CNN

Author:

de Melo Ramásio FerreiraORCID,de Lima Gustavo LameirãoORCID,Corrêa Guilherme RibeiroORCID,Zatt BrunoORCID,de Aguiar Marilton SanchoteneORCID,Nachtigall Gilmar RibeiroORCID,Araújo Ricardo MatsumuraORCID

Publisher

Springer International Publishing

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Deep Learning Classifiers Performance using Preprocessing and Cycle Scheduling Approaches in a Plant Disease Detection;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

2. Fruit Disease Classification and Localization Using Region Based Regression;Proceedings of the Bulgarian Academy of Sciences;2024-02-29

3. Machine Learning for Apple Orchard Health: CNNSVM Model for Disease Detection;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

4. Phenotyping of architecture traits of loblolly pine trees using stereo machine vision and deep learning: Stem diameter, branch angle, and branch diameter;Computers and Electronics in Agriculture;2023-08

5. PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment;EURASIP Journal on Advances in Signal Processing;2023-06-22

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