AI Sense field operations
Our Projects

Building the Future
of Nature-Smart AI

Three flagship systems tackling wildlife coexistence, agricultural resilience, and urban food intelligence — built from the ground up with edge AI at the core.

Active work

Current Projects

Each project is designed to operate at the intersection of ecological intelligence and practical agricultural need — powered by real-time edge AI, not cloud dependency.

AI CoExist — Wildlife Detection & Deterrence
Active

Wildlife Coexistence

AI CoExist

Wildlife Detection & Deterrence

NSF SBIR Phase I–funded technology that integrates AI-enabled cameras to detect, classify, and track wildlife species in real time — enabling humane, adaptive coexistence between farming communities and local ecosystems. Rather than relying on reactive fencing or chemical deterrents, AI CoExist learns animal behaviour patterns and deploys species-specific responses that reduce crop damage without harming the animals involved.

AI-enabled Vision Systems Integrates AI cameras to detect, classify, and track deer, raccoons, and other wildlife in real time — identifying species before triggering any response.
Adaptive Deterrence Engine Edge-based learning activates beamformed acoustic deterrents for species-specific targeting, ensuring deterrence is proportional and targeted.
Predictive Reinforcement Loop Reinforcement learning optimizes deterrence timing and intensity, reducing animal habituation over time and maintaining long-term effectiveness.
Detect–Deter–Adapt Framework Anticipates animal re-entry patterns using historical behavioural data for adaptive, humane response strategies that evolve with the ecosystem.
AI-Enabled Vision Acoustic Deterrence Reinforcement Learning Edge AI NSF Funded
Revolutionizing Agriculture — AI-Driven Disaster Response
AgTech Active

Agricultural Resilience

Revolutionizing Agriculture

AI-Driven Disaster Response

An AI-driven system combining satellite, UAV, and IoT data to detect agricultural damage, quantify crop loss, and support recovery planning following natural disasters. As climate-related events increase in frequency and severity, this platform gives farmers, insurers, and government agencies a rapid, data-grounded picture of impact — replacing slow manual surveys with near-real-time spatial intelligence.

Rapid Damage Detection Combines satellite imagery, UAV overflights, and ground IoT sensor data to identify flood, drought, or storm impacts in near-real-time across large agricultural areas.
Crop Loss Quantification Vegetation indices and AI yield models estimate biomass reduction and translate physical damage into financial loss estimates that can support insurance claims.
Recovery Planning Ranks priority zones by damage severity and provides adaptive recommendations for replanting, soil remediation, and resource allocation.
Policy & Resilience Support Generates standardized reports for governments and insurers, plus long-range predictive models derived from historical disaster data to strengthen future resilience.
Satellite Imagery UAV Data Fusion Crop Loss Estimation IoT Sensing Recovery Planning
Urban Farming — AI Monitoring System
Urban Farming Active

Urban Agriculture

Urban Farming

AI Monitoring System

A multi-scale AI monitoring platform built for urban agriculture — from edge-based real-time crop health analysis running on low-power hardware, to cloud diagnostics and personalised grower support delivered through an agentic AI assistant. Designed for community gardens, rooftop farms, and part-time growers who need actionable intelligence without agricultural science expertise on-hand.

Edge-Based Real-Time Monitoring Lightweight CNN models deployed directly on cameras and environmental sensors for continuous crop condition and microclimate analysis — no cloud connectivity required.
Cloud-Enabled Diagnostics Multi-spectral image analysis, anomaly detection, and yield forecasting aggregated across diverse urban farm sites to surface trends invisible at the individual level.
Agentic AI Support An AI assistant provides personalized recommendations for irrigation schedules, nutrient cycles, pest interventions, and harvest timing — tailored to each grower's specific crops and conditions.
End-to-End Traceability & Distribution A verifiable data trail from seed to harvest ensures food safety standards are met and streamlines local farm-to-table logistics for community distribution networks.
Edge AI Cloud Diagnostics Agentic AI Crop Health Monitoring Food Traceability
Biodiversity Sensing Network
Conservation Tech Active

Biodiversity Intelligence

Biodiversity Sensing Network

Acoustic & Visual Species Monitoring

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Acoustic Sensing Computer Vision Species Classification IoT Mesh Conservation

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Interested in our work?

Whether you're a researcher, NGO, government agency, or enterprise — we'd love to explore how AI Sense can help you sense, understand, and protect the natural world.

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