Deep Learning for Classification and Growth Prediction of Turmeric and Sugarcane Crops
Author:
Affiliation:
1. K S Rangasamy College of Technology,Department of Electronics and Communication Engineering,Tiruchengode,TamilNadu,India
2. K S Rangsamy College of Technology,Department of Electronics and Communication Engineering,Tiruchengode,TamilNadu,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10265860/10265772/10265891.pdf?arnumber=10265891
Reference15 articles.
1. Computer Vision Based Turmeric Leaf Disease Detection and Classification: A Step to Smart Agriculture
2. Turmeric Plant Diseases Detection and Classification using Artificial Intelligence
3. Analysis on agronomy and recent detection methods of rhizome rot in turmeric and methodology using artificial intelligence
4. Comparison of Multivariable Techniques for Brand Classification of Turmeric Powders by Near-infrared (NIR) Spectroscopy
5. Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach
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1. Implementing Convolutional Neural Networks and AdaBoost for Varied Turmeric Discrimination in India;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28
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