IDiSSC: Edge-computing-based Intelligent Diagnosis Support System for Citrus Inspection

Author:

Silva Mateus12,Ferreira da Silva Jonathan3,Oliveira Ricardo2

Affiliation:

1. Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais, Campus Avançado Itabirito, Brazil , --- Select a Country ---

2. Departamento de Computação, Instituto de Ciências Exatas e Biológicas, Universidade Federal de Ouro Preto, Brazil , --- Select a Country ---

3. Instituto Federal de Educação, Ciência e Tecnologia de Minas Gerais, Campus Avançado Itabirito, Brazil, --- Select a Country ---

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 6 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. A Deep Learning Approach for Multiclass Orange Disease Classification;2024 2nd International Conference on Disruptive Technologies (ICDT);2024-03-15

2. Using Mobile Edge AI to Detect and Map Diseases in Citrus Orchards;Sensors;2023-02-14

3. Consensus-Based Learning for MAS: Definition, Implementation and Integration in IVEs;International Journal of Interactive Multimedia and Artificial Intelligence;2023

4. Towards a novel wearable solution for citrus inspection using Edge AI;2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC);2022-06

5. Bringing Deep Learning to the Fields and Forests: Leaf Reconstruction and Shape Estimation;SN Computer Science;2022-03-23

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