Hortiscan provides AI‑driven crop monitoring for greenhouse growers, detecting issues early and recommending actions to boost yields of premium produce.
Funding
Funding not disclosed
Founders
Product
Problem
Greenhouse growers lack continuous, high‑resolution monitoring of crop health, leading to delayed pest detection, sub‑optimal temperature control, and inaccurate harvest forecasts that reduce yield and increase waste.
Solution
Hortiscan deploys autonomous drones equipped with an advanced navigation algorithm that operates without GPS, enabling reliable data capture over a full hectare of greenhouse space. Each flight records 34 GB of raw sensor data, which is processed on‑board by AI software to generate concise, actionable reports. These reports are uploaded to the secure Avemoy cloud in Europe, while raw data remains on the edge device. An Edge Charger dock supplies power and computing for the drones, eliminating the need for multiple charging stations. Growers access a web‑based cockpit that visualizes pest alerts, temperature trends, and harvest predictions, allowing them to adjust interventions promptly and improve overall crop quality.
Target Audience
Primary customers are commercial greenhouse operators and tomato producers who need precise, automated crop monitoring to optimize yields and reduce losses.
Features
- GPS‑free autonomous drone navigation derived from Ingenuity Mars helicopter technology, suitable for unknown greenhouse environments
- On‑board AI processing that reduces 34 GB of raw data to a single actionable report per flight
- Edge Charger docking station that powers drones and hosts the processing unit for up to 1 ha of greenhouse coverage
- Secure European cloud storage that retains only final reports, keeping raw data local for privacy
- Interactive cockpit displaying pest detection, temperature analytics, and harvest forecasts for real‑time decision making
- Scalable hardware setup requiring only one Edge Charger per hectare, simplifying deployment and maintenance