Study of Disease Identification in Pomegranate Using Leaf Detection Technique
Author:
Affiliation:
1. Computer Science and Engineering Bharath Institute of Higher Education and Research,Tamil Nadu,India
2. All India Shri Shivaji Memorial Society's Institute of Information Technology,Student of Department of Computer Engineering,Maharashtra,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9758147/9758153/09758262.pdf?arnumber=9758262
Reference23 articles.
1. Alternaria alternata fruit rot of pomegranate (Punica granatum) in Greece
2. Diagnosis of pomegranate plant diseases using neural network
3. Plant Leaf Disease Detection Using Modified Segmentation Process and Classificatıon
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1. Deep Learning-Based Approach for Pomegranate Fruit Bacterial Blight Disease Detection using Convolutional Neural Networks;2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC);2023-09-07
2. A Review of Plant Disease Detection Systems for Farming Applications;Applied Sciences;2023-05-12
3. A Novel Approach for Detection of Soybean Leaf Disease Using Bayesian Optimized-KNN Classifier with NCA-Based Feature Selection;Lecture Notes in Networks and Systems;2023
4. Pomegranate Leaf Disease Classification using Feature Extraction and Machine Learning;2022 3rd International Conference on Smart Electronics and Communication (ICOSEC);2022-10-20
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