Agricultural Informatics: Assessing CNN and Decision Tree Effectiveness in Indian French Bean Variety Classification
Author:
Affiliation:
1. Chitkara University,Centre for Research Impact & Outcome,Rajpura,Punjab,India,140401
2. Chitkara University,Chitkara Centre for Research and Development,Himachal Pradesh,India,174103
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10625770/10625923/10626527.pdf?arnumber=10626527
Reference17 articles.
1. Computer vision classification of dry beans (Phaseolus vulgaris L.) based on deep transfer learning techniques
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3. Seed Architectural Phenes Prediction and Variety Classification of Dry Beans (Phaseolus vulgaris) Using Machine Learning Algorithms
4. Traditional Machine Learning and Deep Learning Modeling for Legume Species Recognition
5. Dry bean cultivars classification using deep cnn features and salp swarm algorithm based extreme learning machine
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