Weeds and Crop Image Classification using Deep Learning Technique
Author:
Affiliation:
1. Karunya Institute of Technology and Sciences,Electronics and Communication Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112958.pdf?arnumber=10112958
Reference19 articles.
1. Weed detection in soybean crops using custom lightweight deep learning models
2. Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems
3. Forest pest identification based on a new dataset and convolutional neural network model with enhancement strategy
4. Weed detection in soybean crops using ConvNets
5. REAL-TIME BLOB-WISE SUGAR BEETS VS WEEDS CLASSIFICATION FOR MONITORING FIELDS USING CONVOLUTIONAL NEURAL NETWORKS
Cited by 2 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. Efficient Crop vs Weed Detection in Precision Agriculture: A CNN Approach for Real-Time Decision Making;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01
2. Transforming weed management in sustainable agriculture with artificial intelligence: A systematic literature review towards weed identification and deep learning;Crop Protection;2024-02
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