Wampum Unmanned Technologies offers a turnkey precision‑agriculture platform that pairs commercial UAVs with a cloud‑based analytics service. The drones perform autonomous multispectral mapping, variable‑rate spraying and aerial seeding, delivering NDVI, canopy‑temperature and yield forecasts via a web dashboard and API for integration with farm‑management systems. Service contracts provide pilot certification, hardware maintenance and regulatory compliance.
Funding
Funding not disclosed
Founders
Product
Problem
Large-scale farms often rely on manual scouting and conventional spray equipment, which results in uneven input distribution, delayed detection of stress, and higher operational costs. The lack of integrated, real‑time aerial data limits the ability to make precise agronomic decisions at scale.
Solution
Wampum Unmanned Technologies provides a turnkey precision‑agriculture solution that combines commercial-grade UAVs from manufacturers such as XAG and DJI with a cloud‑based analytics platform. The drones execute autonomous flight plans for high‑resolution multispectral mapping, variable‑rate spraying, and aerial seeding, while on‑board GNSS and RTK positioning ensure centimeter‑level accuracy. Captured imagery is processed with computer‑vision and machine‑learning pipelines to generate NDVI, canopy‑temperature, and pest‑pressure maps, as well as predictive yield models. Results are delivered through a secure web dashboard and an API that can be integrated with existing farm‑management information systems. Optional service contracts cover pilot certification, routine maintenance, and regulatory compliance, enabling farms to adopt the technology without extensive in‑house expertise.
Target Audience
Primary customers are commercial row‑crop producers, agribusiness service firms, and precision‑ag consultants who require data‑driven input management and scalable aerial operations.
Features
- Integrated UAV fleet (XAG, DJI Agras) with RTK‑enabled GNSS for sub‑10 cm flight accuracy
- Automated mission planning tool that creates variable‑rate spray and seeding patterns based on field boundaries and prescription maps
- Multispectral sensor suite (RGB, NIR, Red Edge) feeding a cloud analytics pipeline that produces NDVI, vegetation‑index, and disease‑risk layers
- Machine‑learning models that convert sensor data into short‑term yield forecasts and input‑optimization recommendations
- Web dashboard with real‑time flight telemetry, heat‑map visualizations, and exportable GIS formats (GeoJSON, shapefile)
- RESTful API and FHIR‑compatible endpoints for seamless integration with existing precision‑ag software
- Tiered service contracts offering pilot training, hardware maintenance, and compliance documentation