Overview
A² Innovation Lab blends modern technology with time-tested farming wisdom to create resilient, sustainable food systems. Our work is anchored in three core pillars: Climate-Smart Agriculture – leveraging AI, IoT, and satellite data to optimize resource use, anticipate climate risks, and strengthen crop resilience; Regenerative Agriculture – using AI-driven insights to support healthy soils, diverse ecosystems, and long-term farm vitality; and Permaculture & Ancient Agricultural Practices to AI Enrichment – preserving traditional knowledge, applying permaculture principles, and enhancing AI models with centuries-old agricultural practices for culturally rooted and enduring solutions.
By uniting these approaches, we develop practical, scalable tools that farmers, researchers, and communities can use to protect crops, improve yields, and work in balance with the natural environment.
We are currently collaborating with the Food and Agriculture Organization of the United Nations (FAO) on a pilot project in Nepal, integrating satellite, drone, and IoT field data to monitor flood and drought impacts on agriculture. This work informs national disaster response planning and demonstrates how AI-enhanced, community-driven data collection can bridge the gap between early warning systems and actionable, on-the-ground resilience measures.
Technical Focus
- Edge AI & IoT Systems: Low-power, location-aware devices for real-time detection, deterrence, and data collection.
- Data-efficient learning: Few-shot, self-supervised, and transfer learning models for limited-data agricultural contexts.
- Robust environmental AI: Domain adaptation and continual learning for changing seasonal, ecological, and geographic conditions.
- AI CoExist: AI-powered agricultural innovation to enable harmonious coexistence between humans, wildlife, and nature.
- Integration with open datasets: Leveraging public, and locally collected datasets for global adaptability.
Team
Founder & Research Lead
Cloud & High Compute Infrastructure DevOps
GIS AI/ML Spatial Engineering Lead
AI/ML Data Scientist
Edge AI & IoT Systems Engineer
Research Interns
- Utsav Archarya
- Raj Malla