Machine Learning Applied in Identification of Anthracnose and Stem End Rot in Mangoes-Alphonso Cultivar
Author:
Affiliation:
1. Mysuru Amrita Vishwa Vidyapeetham,Department of Computer Science,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094317/10094318/10094550.pdf?arnumber=10094550
Reference17 articles.
1. Non-destructive freeze damage detection in oranges using machine vision and ultraviolet fluorescence
2. Non-destructive mango quality assessment using image processing: Inexpensive innovation for the fruit handling industry;nagle;Conference on International Research on Food Security Natural Resource Management and Rural Development,0
3. Discrimination of common defects in loquat fruit cv. ‘Algerie’ using hyperspectral imaging and machine learning techniques
4. Computer vision based detection of external defects on tomatoes using deep learning
5. Potential of reflected UV imaging technique for detection of defects on the surface area of mango
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