Skip to content

We developed an intelligent model for jute pests identification based on transfer learning (TL) and deep convolutional neural networks (DCNN) to solve this practical problem. The proposed DCNN model can realize fast and accurate automatic identification of jute pests based on photographs.

License

Notifications You must be signed in to change notification settings

Sakibsourav019/Jute-Insect-Classification-using-Transfer-Learning-and-Deployment-in-Android-App

Repository files navigation

Jute-Insect-Classification-using-Transfer-Learning-and-Deployment-in-Android-App

Feel free to read and cite this paper if to implement and update this work with more advanced technique- https://link.springer.com/article/10.1007/s11063-022-10978-4

Citation - Sourav, M.S.U., Wang, H. Intelligent Identification of Jute Pests Based on Transfer Learning and Deep Convolutional Neural Networks. Neural Process Lett (2022). https://doi.org/10.1007/s11063-022-10978-4

Dataset for this work- https://www.kaggle.com/datasets/mdsakibullah/jute-pest-dataset

About

We developed an intelligent model for jute pests identification based on transfer learning (TL) and deep convolutional neural networks (DCNN) to solve this practical problem. The proposed DCNN model can realize fast and accurate automatic identification of jute pests based on photographs.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published