Commercial growers often apply water, fertilizer, and pesticides without granular, real‑time field data, resulting in input waste, sub‑optimal yields, and higher operating costs. Limited visibility into soil moisture, nutrient status, and pest pressure hampers precise decision‑making across heterogeneous fields. Sound Ag delivers a cloud‑native precision agriculture platform that ingests high‑frequency IoT sensor streams—soil moisture probes, nutrient meters, weather stations—and enriches them with satellite and drone imagery.
Funding
Funding not disclosed
Founders
Product
Problem
Commercial growers often apply water, fertilizer, and pesticides without granular, real‑time field data, resulting in input waste, sub‑optimal yields, and higher operating costs. Limited visibility into soil moisture, nutrient status, and pest pressure hampers precise decision‑making across heterogeneous fields.
Solution
Sound Ag delivers a cloud‑native precision agriculture platform that ingests high‑frequency IoT sensor streams—soil moisture probes, nutrient meters, weather stations—and enriches them with satellite and drone imagery. Built‑in machine‑learning models translate these data into field‑level prescription maps for irrigation, fertilization, and pest management. Users access actionable recommendations through a responsive web dashboard and native mobile app, with the ability to set custom thresholds and receive push alerts for anomalies. The platform exposes RESTful APIs and FFI connectors for seamless integration with existing farm‑management information systems (FMIS). Secure, role‑based data storage enables multi‑year trend analysis, allowing growers to continuously refine agronomic strategies.
Target Audience
Primary customers are commercial row‑crop growers and precision‑farming service providers managing large, heterogeneous acreage who require data‑driven input optimization.
Features
- IoT gateway that aggregates soil moisture, EC, temperature, and weather data at 5‑minute intervals
- Data lake architecture on AWS/GCP with automated ETL pipelines for satellite NDVI and drone orthomosaics
- Supervised learning models for variable‑rate irrigation and nutrient dosing, calibrated per soil type and crop stage
- Interactive GIS dashboard delivering per‑zone prescription maps with export to shapefile or GeoJSON
- Open API (OpenAPI 3.0) and AgGateway‑compatible data exchange for integration with FMIS and ERP systems
- Mobile app (iOS/Android) with offline caching, real‑time alerts, and one‑tap execution of equipment set‑points
- Compliance‑ready audit logs and role‑based access control meeting ISO 27001 and GDPR standards