Disease Identification in Papaya Plant and their Dataset-Reference-Cited by-同舟云学术

Disease Identification in Papaya Plant and their Dataset

Published:2022-12-14 Issue: Volume: Page:
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Container-title:2022 5th International Conference on Contemporary Computing and Informatics (IC3I)
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Author:

Kaur Harjeet¹,Prashar Deepak²,Kumar Vipul³

Affiliation:

1. Lovely Professional University,Department of Computer Science and Engineering,Phagwara,Punjab

2. Lovely Professional University,School of Computer Science and Engineering,Phagwara,Punjab

3. Lovely Professional University,Department of Agriculture, Plant Pathology,Phagwara,Punjab

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10072015/10072297/10072453.pdf?arnumber=10072453

Reference12 articles.

1. Papaya Fruit Type Classification using LBP Features Extraction and Naive Bayes Classifier

2. Deep Learning Based Approach for Classification and Detection of Papaya Leaf Diseases

3. Identification of Papaya Fruit Diseases using Deep Learning Approach;munasingha;4th International Conference on Advances in Computing and Technology (ICACT ? 2019) Faculty of Computing and Technology,0

4. Plant Disease Detection Using Advanced Deep Learning Algorithms: A Case Study of Papaya Ring Spot Disease

5. Detection and Recognition of Papaya Leaf Diseases Using Image Processing;femi;International Journal of Advanced Science and Technology,2020

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2. Papaya Leaf Disease Identification using ResNet with Transfer Learning;2023 8th International Conference on Robotics and Automation Engineering (ICRAE);2023-11-17