SmartEco by agrinetech.ro is an AI-powered digital twin platform that unifies drone imagery, soil sensors, local weather stations, and satellite data into a single decision-support system for Romanian farms. The platform delivers parcel-level recommendations on irrigation, fertilization, and crop protection, along with early warnings for drought, disease, and pests. It is currently in active development with an open pilot program for farms larger than 50 hectares.
Funding
Funding not disclosed
Founders
Product
Problem
Precision agriculture technologies are fragmented, complex, and expensive, requiring farmers to juggle multiple disconnected tools for drone imaging, soil monitoring, weather tracking, and satellite analysis. This complexity limits adoption, especially among mid-sized Romanian farms that lack the resources or digital expertise to integrate these systems effectively, leading to delayed decisions, higher input costs, and preventable crop losses.
Solution
SmartEco provides a unified digital twin platform that aggregates data from autonomous drones, IoT soil sensors, local weather stations, and Copernicus/Sentinel satellite imagery into a single intelligent system. AI algorithms process the combined data to generate multi-layered field maps, yield predictions, and early warnings for drought, thermal stress, disease, and pest risks. The platform translates these insights into clear, parcel-level recommendations for irrigation, fertilization, and phytosanitary treatments, accessible through a web and mobile application. A complete cultivation history is stored for every season, enabling continuous learning and progressively more accurate AI models that improve farm profitability over time.
Target Audience
Primary customers are Romanian commercial farms operating more than 50 hectares that seek to adopt precision agriculture without requiring advanced digital skills or significant upfront investment.
Features
- Autonomous drone integration with RGB, multispectral, and thermal cameras, offering up to 90 minutes of flight time and high-resolution parcel mapping
- IoT soil sensors measuring moisture, temperature, electrical conductivity, and leaf wetness with continuous, non-invasive data transmission
- Solar-powered local weather stations tracking temperature, wind, precipitation, and solar radiation in real time
- Satellite data ingestion from the European Copernicus/Sentinel program, providing broad multispectral context without additional hardware
- AI-driven digital twin with four operational layers: live monitoring, predictive analytics, actionable recommendations, and full seasonal history
- Parcel-level recommendations for irrigation, fertilization, and crop protection, combining field data with agronomic expertise
- Early warning system for drought, disease, and pest outbreaks before visible damage occurs
- Web and mobile application with interactive maps, real-time notifications, and per-parcel reporting