Viewer by EdenCore Technologies P.C.

EdenCore Technologies P.C.
Greece

EdenCore Technologies is an ag-tech company based in Greece developing AI-powered vision systems for agriculture. The company focuses on helping fruit growers automate crop monitoring tasks such as fruit counting, yield estimation and anomaly detection. Its main product, Viewer, is a camera-based monitoring system that enables sprayers to perform variable rate tasks based on the canopy profile of each tree and map the productivity and stress parameters for each plant.

Viewer by EdenCore Technologies P.C.

Types of crops

Berries

Berries

Tree Fruits

Tree Fruits

Fruits

Fruits

Vine & Grapes

Vine & Grapes

Nuts

Nuts

Technology Overview

  • Latest revision : 6/23/2026
  • Commercial release date :
  • Application : Precision spraying based on canopy profile

Commercialisation Overview

  • Technology Readiness Level (TRL) : 10: Market introduction - Full commercial operation
  • Units in Service - Global : 30
  • Business model : Distributor network / Leasing
  • Price : 10k-15k
  • Ongoing Costs :

Market Coverage, Distributors and Service Suppliers

  • Countries or markets addressed :

Performance & Economic Impact

  • Estimated ROI :
  • Phytosanitary Product Savings :
  • Yield Improvement :

Technical specifications

  • Power source : Electric power from vehicle battery
  • Required Tractor Power :
  • Net weight : 5 kg | 11 lbs
  • Min Farm Size (In hectares) :
  • Productivity : Up to 10–15 hectares monitored per hour, depending on vehicle speed and crop density.
  • Maximum operating speed :
  • Wheel spacing :
  • Horse power : N/A – sensor system mounted on vehicle

Functionalities and technologies

  • Core Functionality : Viewer is a camera-based monitoring system designed for orchards and vineyards. It automatically captures images in the field and uses AI vision algorithms to detect fruits, estimate yield, and identify anomalies such as disease symptoms or missing fruits. The system provides growers with actionable insights to improve crop protection decisions, optimize spraying operations, and improve yield forecasting while reducing labor and input costs.
  • Software : AI computer vision, RGB cameras, edge computing, GPS geotagging, wireless data transfer, cloud analytics.
  • Connectivity : On-board sensor powered by tractor
  • Compatible Tools : Orchard/vineyard sprayers

Development Roadmap

  • Next phase : Fruit size analysis & color grading.

Additional resources

No additional resources available.

Viewer by EdenCore Technologies P.C.

Here are some robots that might interest you