AgroNest provides a cognitive operating system that creates a digital twin for each plant by combining high‑density IoT soil sensors, daily satellite LiDAR imagery, and continuous telemetry. Its AI engine forecasts crop health, predicts yields, and recommends optimal irrigation, fertilization, and energy use, while tokenizing yield and carbon data for insurance and financing, all secured with zero‑knowledge encryption.
Funding
$2.3K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Smallholder and commercial farmers often lack precise, real‑time insight into crop health, soil conditions, and resource use, leading to inefficient water, energy, and nutrient application and increased exposure to climate risk.
Solution
AgroNest delivers an agricultural cognitive operating system that creates a digital twin for each individual plant by fusing high‑density IoT soil sensors, daily satellite LiDAR imagery, and continuous telemetry. The platform runs advanced AI models on this unified data stream to forecast health trajectories, predict yields, and recommend optimal irrigation, fertilization, and energy inputs. Yield and carbon metrics are tokenized, enabling parametric insurance and direct financing while preserving farmer data sovereignty through zero‑knowledge encryption. All insights are accessible through a cloud‑based dashboard that integrates with existing farm management tools and market platforms.
Target Audience
Primary customers are smallholder cooperatives and commercial agribusinesses seeking data‑driven crop management, as well as insurers and institutional investors that require verifiable yield and carbon assets.
Features
- Biological digital twins that simulate each crop’s growth and stress response in real time
- High‑density root‑zone IoT probes delivering continuous soil moisture, temperature, and nutrient data
- Daily satellite LiDAR scans providing canopy structure and regional climate context
- AI‑driven resource optimization engine that balances water, energy, and fertilizer use across the field
- Zero‑knowledge encryption (AES‑GCM‑256) ensuring telemetry remains owned and private to the farmer
- Tokenization of yield and carbon data for instant, verifiable credit generation and parametric insurance payouts
- API layer for integration with farm management software, market exchanges, and financing platforms