Crop Pest and Disease Detection using DL

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Crop Pest and Disease Detection using DL
:red_circle: Aim : The aim of this project is to detect the pest and disease using deep learning methods.
:red_circle: Dataset : https://www.kaggle.com/datasets/nirmalsankalana/crop-pest-and-disease-detection
:red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[ImanKalyanChakraborty]

Full name : Iman Kalyan Chakraborty GitHub Profile Link : https://github.com/ImanKalyanChakraborty Email ID : imankc1975@gmail.com Approach for this Project : I will be using SSD, YOLO and RetinaNet for the classification task What is your participant role? (Mention the Open Source program) : SWOC 24

[abhisheks008]

Issue assigned to you @ImanKalyanChakraborty

[Karthik110505]

Full name : Veera Venkata Karthik Barrenkala GitHub Profile Link : https://github.com/karthik110505 Email ID : bvvkarthik1155@gmail.com Approach for this Project : I will start by implementing a Convolutional Neural Network (CNN) model as the baseline. Then, I will explore more advanced models such as SSD, YOLO, VGG, and ResNet. Throughout the process, I will perform rigorous experimentation and analysis to determine the most effective model based on accuracy scores and performance metrics. What is your participant role? (Mention the Open Source program) : GSSOC 24

[abhisheks008]

Assigned to you @Karthik110505. You can start working on it.