AkashKobal/arecanut-diseases-detection

A deep learning-based system using Convolutional Neural Networks (CNNs) to detect diseases in arecanut crops through image classification, enabling early diagnosis and sustainable agricultural practices.

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Emerging

This project helps arecanut farmers identify diseases in their crops early by analyzing images of plant parts like leaves, trunks, and nuts. You feed it pictures of your arecanut plants, and it tells you if they are healthy or diseased, offering a rapid way to detect issues. Farmers, agricultural technicians, and plantation managers who grow arecanuts are the primary users.

No commits in the last 6 months.

Use this if you need a quick, automated way to check your arecanut crops for early signs of disease using plant images.

Not ideal if you need a system that offers real-time, in-field detection or covers a wider variety of crops beyond arecanut.

arecanut-farming crop-health-monitoring disease-diagnosis precision-agriculture plantation-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 16 / 25
Community 13 / 25

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Stars

8

Forks

2

Language

Jupyter Notebook

License

MIT

Last pushed

Dec 14, 2024

Commits (30d)

0

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