Multi-channel feature fusion networks with hard coordinate attention mechanism for maize disease identification under complex backgrounds
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference24 articles.
1. Aravind, K., Raja, P., Mukesh, K., Aniirudh, R., Ashiwin, R., Szczepanski, C., 2018. Disease classification in maize crop using bag of features and multiclass support vector machine. Paper presented at the 2018 2nd International Conference on Inventive Systems and Control (ICISC).
2. Using deep transfer learning for image-based plant disease identification;Chen;Comput. Electron. Agric.,2020
3. Attention embedded lightweight network for maize disease recognition;Chen;Plant. Pathol.,2021
4. Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet;Chen;Comput. Electron. Agric.,2020
5. An optimized model based on convolutional neural networks and orthogonal learning particle swarm optimization algorithm for plant diseases diagnosis;Darwish;Swarm Evol. Comput.,2020
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