Open Access
| Issue |
ITM Web Conf.
Volume 40, 2021
International Conference on Automation, Computing and Communication 2021 (ICACC-2021)
|
|
|---|---|---|
| Article Number | 03043 | |
| Number of page(s) | 5 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20214003043 | |
| Published online | 09 August 2021 | |
- Neha Kurale and Madhav Vaidya, “Classification of Leaf Disease using Texture using feature and Neural Network Classifiers”, ICIRCA, 2018. [Google Scholar]
- Pushkar Sharma, Pankaj Hans, Shubash Chand Gupta, “Classification of Leaf Disease using Machine Learning and Image Processin”, IEEE 2020 [Google Scholar]
- Raghottam Kulkarni and Dr. A.V Sutagundar, “Plant Leaf Disease Management System”, ICCMC, 2017. [Google Scholar]
- Namrata Bhimte and V.R Thool “Disease Detection of cotton leaf spot using Image Processing and SVM Classifier ”, ICICCS, 2018. [Google Scholar]
- Ch. Usha Kumari, S. Jeevan Prasad, G. Mounika, “Leaf Disease Detection: Feature Extraction with K-means Clustering and Classification using ANN”, ICCMC, 2019. [Google Scholar]
- Indumati R, Saagari N, Thejuswini V, Swarnareka R “Leaf Disease Detection and Fertilizer Suggestion”,ICSCAN, 2019. [Google Scholar]
- Melike Sardogan, Adem Tuncer, Yunus Ozen, “Plant Leaf Disease Detection and Classification Based on CNN with LVQ Algorithm”, ICCSE (UBMK), 2018. [Google Scholar]
- Sandeep Kumar, KMVV Prasad, A. Srilekha, T.Suman, B. Pranav Rao, J Naga Vamshi Krishna, “Leaf Disease Detection and Classification based on Machine Learning”, ICSTCEE, 2020 [Google Scholar]
- Nikita Goel, Dhruv Jain, Adwitiya Sinha, “Prediction model for Automated Leaf Disease Detection & Analysis”, IACC, 2018. [Google Scholar]
- Ravindra Jogekar, Dr. Nandita Tiwari, “Summary of Leaf- based plant disease detection systems: A compilation of systematic study findings to classify the leaf disease classification schemes ”, WorldS4, 2020. [Google Scholar]
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