An Algorithm for Plant Disease Visual Symptom Detection in Digital Images Based on Superpixels-Reference-Cited by-同舟云学术

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An Algorithm for Plant Disease Visual Symptom Detection in Digital Images Based on Superpixels

Published:2019-02-23 Issue:1 Volume:9 Page:194
ISSN:2460-6952
Container-title:International Journal on Advanced Science, Engineering and Information Technology
language:
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Author:

Salazar-Reque Itamar F.,Huamán Samuel Gustavo,Kemper Guillermo,Telles Joel,Diaz Daniel

Publisher

Insight Society

Subject

General Engineering,General Agricultural and Biological Sciences,General Computer Science

Cited by 13 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. Improved Detection of Fusarium Head Blight in Wheat Ears through YOLACT Instance Segmentation;2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO);2024-03-14

2. Crop Disease Prediction using Machine Learning and Deep Learning: An Exploratory Study;2023 International Conference on Sustainable Computing and Smart Systems (ICSCSS);2023-06-14

3. A Systematic Review on the Detection and Classification of Plant Diseases Using Machine Learning;International Journal of Software Innovation;2022-12-30

4. GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery;Remote Sensing;2022-08-23

5. CapPlant: a capsule network based framework for plant disease classification;PeerJ Computer Science;2021-11-05

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