Evaluation of image processing technique in identifying rice blast disease in field conditions based on KNN algorithm improvement by K‐means
Author:
Affiliation:
1. Department of Biosystems Engineering University of Mohaghegh Ardabili Ardabil Iran
2. Department of Computer Sciences and Engineering University of Guilan Guilan Iran
3. Department of Biosystem Engineering Tarbiat Modares University Tehran Iran
Publisher
Wiley
Subject
Food Science
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/fsn3.1251
Reference20 articles.
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2. Detection and Classification of Leaf Diseases using K-means-based Segmentation and Neural-networks-based Classification
3. A Robust Recognition System for Pecan Weevil using Artificial Neural Networks
4. Molecular progress on the mapping and cloning of functional genes for blast disease in rice (Oryza sativaL.): current status and future considerations
5. Developing an orientation and cutting point determination algorithm for a trout fish processing system using machine vision
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