shivamlth27/Krishi-ai
Project of CS550 - Machine Learning Course 2024-25 M
SUMMARY AI summary by gpt-5-mini
Krishi.ai (DFN-PSAN) is an open-source plant disease detection model built on YOLOv5. It replaces YOLOv5’s head with a Pyramid Squeeze Attention (PSA) classification layer and enhances the backbone (CSPDarkNet with a 6×6 conv), SPP pooling, and a DFN neck that fuses FPN and PAN for improved multi-scale feature aggregation. The design emphasizes better feature extraction, attention-guided classification, and real-time detection accuracy. Intended users include researchers, agricultural engineers, extension services, and developers building crop monitoring tools. Key features: modified YOLOv5 backbone, SPP module, DFN neck (FPN+PAN), PSA attention head, multi-scale fusion, PyTorch implementation, MIT license, and a live demo.
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Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Position among AI repos in the same language
We track 972 Jupyter Notebook repos, of which 721 score 40 or above on AI relevance. 93 have more stars than this one (top 9.7%), and 32 score higher (top 3.4%).
Owner
Dates
| Created on GitHub | 2026-05-09 |
| Last push | 2026-05-09 |
| First seen here | 2026-05-09 |
| Last fetched | 2026-08-17 16:13 |
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