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About while(MOO)

Intelligent Livestock Identification for Sustainable Agriculture

while(MOO) is an open-source, offline-first AI platform dedicated to enabling farmers, field workers, and livestock traders to accurately identify cattle and buffalo breeds using edge-deployed machine learning. We combine explainable AI (Grad-CAM), QR-based traceability, and community knowledge to support sustainable livestock practices aligned with UN Sustainable Development Goals.

Mission

while(MOO) is an open-source, offline-first AI platform dedicated to enabling farmers, field workers, and livestock traders to accurately identify cattle and buffalo breeds using edge-deployed machine learning.

We combine explainable AI (Grad-CAM visualizations), QR-based traceability, and community-contributed knowledge to support sustainable livestock practices aligned with UN Sustainable Development Goals.

Our mission is to democratize livestock intelligence—making advanced AI tools accessible to rural communities with minimal connectivity, empowering transparent supply chains, and promoting responsible animal husbandry.

SDG Alignment

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SDG 2

End hunger, achieve food security

Supports improved productivity and quality of livestock production through better breed identification and management practices.

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SDG 9

Build resilient infrastructure

Develops affordable, scalable technology infrastructure accessible to rural farmers with minimal connectivity requirements.

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SDG 12

Responsible consumption and production

Promotes sustainable livestock practices through transparent QR-based traceability and ethical breeding documentation.

Team

while(MOO) is built by a dedicated team of engineers, designers, and agriculture experts committed to open innovation.