Early Blight and Late Blight Disease Prediction using CNN for Potato Leaves
Author:
Affiliation:
1. GIET University,Gunupur
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9935820/9936049/09936100.pdf?arnumber=9936100
Reference15 articles.
1. Deep learning for smart agriculture: Concepts, tools, applications, and opportunities
2. A comparative study of fine-tuning deep learning models for plant disease identification
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5. Bacterial Foraging Optimization Based Radial Basis Function Neural Network (BRBFNN) for Identification and Classification of Plant Leaf Diseases: An Automatic Approach Towards Plant Pathology
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1. A Comprehensive Review of Convolutional Neural Networks based Disease Detection Strategies in Potato Agriculture;Potato Research;2024-08-26
2. Analysis of Leaf Disease Detection in the Solanaceae family plants using Machine Learning Algorithms;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24
3. Analysis of Leaf Disease Detection in the Solanaceae family plants using Machine Learning Algorithms;2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE);2024-01-24
4. Optimized Deep Learning Model for Disease Prediction in Potato Leaves;EAI Endorsed Transactions on Pervasive Health and Technology;2023-09-27
5. Detecting Diseases in Potato Leaves using Deep Learning and Machine Learning Approaches: A Review;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20
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