Fusarium Wilt Disease Detection using DL

[the-silent-geek]

Pull Request for DL-Simplified 💡

Issue Title :

• Info about the related issue (Aim of the project) : To create deep learning models for disease detection.
• Name: D. Uday Kiran
• GitHub ID: the-silent-geek
• Email ID: [email protected]
• **Identify yourself: contributor in SWOC 24

Closes: #420

Describe the add-ons or changes you've made 📃

Added dataset, model architectures, and 3 models for disease detection.

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)
• Breaking change (fix or feature that would cause existing functionality to not work as expected)
• This change requires a documentation update

How Has This Been Tested? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

Checklist: ☑️

• My code follows the guidelines of this project.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• I have made corresponding changes to the documentation.
• My changes generate no new warnings.
• 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.

[github-actions]

Our team will soon review your PR. Thanks @the-silent-geek :)

[abhisheks008]

Nice one. Minor changes are required.

1. Do an EDA of the dataset before implementing the actual models.
2. Put the EDA results in the README.md file.
3. Add a brief conclusion at the end of the README file.

@the-silent-geek

[abhisheks008]

Nice work. Your PR is approved and ready to be merged.
@the-silent-geek