Classification of Weeds and Crops using Transfer Learning
Author:
Affiliation:
1. St. Joseph's College (Autonomous),Department of Advanced Computing,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751777/9752467/09752477.pdf?arnumber=9752477
Reference20 articles.
1. Evaluation of support vector machine and artificial neural networks in weed detection using shape features
2. Plant leaf classification using GIST texture features
3. Automated plant identification using artificial neural network and support vector machine
4. Towards weeds identification assistance through transfer learning
5. Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Weed detection and classification in sesame crops using region-based convolution neural networks;Neural Computing and Applications;2024-08-01
2. Machine learning algorithms applied to weed management in integrated crop-livestock systems: a systematic literature review;Advances in Weed Science;2024
3. A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties;International Journal of Information Technology;2023-12-09
4. A machine learning framework for the identification of crops and weeds based on shape curvature and texture properties;2023-06-07
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