Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
Issue Title : Crop Pest and Disease Detection using DL
Info about the related issue (Aim of the project) : The aim of this project is to detect crop pests and diseases using deep learning methods.
Name: Veera Venkata Karthik Barrenkala
GitHub ID: karthik110505
Email ID: bvvkarthik1155@gmail.com
Identify yourself: GSSoC 24 Participant
Closes: #443
Describe the add-ons or changes you've made 📃
I have added a Jupyter Notebook Crop_Pest_and_Disease_Detection_using_DL.ipynb which contains the implementation of various deep learning models for crop pest and disease detection. The notebook includes data loading, preprocessing, model building, training, evaluation, and comparison of different models such as ANN, CNN, ResNet, and VGG16.
Type of change ☑️
What sort of change have you made:
[ ] Bug fix (non-breaking change which fixes an issue)
[ ] New feature (non-breaking change which adds functionality)
[ ] Code style update (formatting, local variables)
[x] This change requires a documentation update
How Has This Been Tested? ⚙️
I have tested the notebook by running each cell and ensuring that the models are trained and evaluated correctly. I have also verified the accuracy of the models on a separate test dataset.
Checklist: ☑️
[x] My code follows the guidelines of this project.
[x] I have performed a self-review of my own code.
[x] I have commented my code, particularly wherever it was hard to understand.
[ ] I have made corresponding changes to the documentation.
[x] My changes generate no new warnings.
[x] I have added things that prove my fix is effective or that my feature works.
[ ] Any dependent changes have been merged and published in downstream modules.
Pull Request for DL-Simplified 💡
Issue Title : Crop Pest and Disease Detection using DL
Closes: #443
Describe the add-ons or changes you've made 📃
I have added a Jupyter Notebook
Crop_Pest_and_Disease_Detection_using_DL.ipynb
which contains the implementation of various deep learning models for crop pest and disease detection. The notebook includes data loading, preprocessing, model building, training, evaluation, and comparison of different models such as ANN, CNN, ResNet, and VGG16.Type of change ☑️
What sort of change have you made:
How Has This Been Tested? ⚙️
I have tested the notebook by running each cell and ensuring that the models are trained and evaluated correctly. I have also verified the accuracy of the models on a separate test dataset.
Checklist: ☑️