Image-based Mangifera Indica Pathogen Recognition using Artificial Intelligence
Author:
Affiliation:
1. College of Computer Science, Don Mariano Marcos Memorial State University, Philippines
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3674558.3674580
Reference20 articles.
1. Wasyihun Sema Admass, Yirga Yayeh Munaye, and Girmaw Andualem Bogale. 2023. Convolutional neural networks and histogram-oriented gradients: a hybrid approach for automatic mango disease detection and classification. International Journal of Information Technology (2023), 1–13.
2. Identification and Classification of Export Quality Carabao Mangoes using Image Processing
3. An Automatic Non-Destructive External and Internal Quality Evaluation of Mango Fruits based on Color and X-ray Imaging with Machine Learning and Deep Learning Based Classification Models
4. A Novel Fusion of Deep Learning and Android Application for Real-Time Mango Fruits Disease Detection
5. Maria Jeseca C Baculo, Conrado Ruiz Jr, and Oya Aran. 2021. Cecid Fly Defect Detection in Mangoes Using Object Detection Frameworks. In Computer Graphics International Conference. Springer, 205–216.
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