Main Objectives

Our main objectives are building the Nordic Plant Data Hub, leveraging IoT and distributed AI and bridging interdisciplinary gaps.
Building the Nordic Plant Data Hub

We are overcoming Research Infrastructure (RI) fragmentation by creating a federated data system that links institutional RIs across the Nordics.

FAIR Principles

Ensuring data is Findable, Accessible, Interoperable, and Reusable.

Open Standards

Utilizing open formats like CSV and AgML-compliant JSON-LD.

Unified Access

Providing a single web interface and RESTful API for seamless data retrieval.

Trust

Building a secure environment for scientists, breeders, and farmers.

Leveraging IoT and Distributed AI

We are advancing plant phenotyping by integrating cutting-edge Internet of Things (IoT) devices with Artificial Intelligence.

AI Analysis

Sophisticated algorithms for image and sensor data analysis.

Real-time Monitoring

IoT sensors for temperature, light, and moisture.

Edge Computing

Processing data locally to reduce latency and bandwidth.

Digital Twins

Creating dynamic models of plant systems (e.g., PhenoRob, Purdue's PhenoRover).

Bridging Interdisciplinary Gaps

We are dedicated to training, networking, and dissemination to foster a new generation of interdisciplinary researchers.

Education 

Intensive courses, workshops, and seminars.

Mobility

PhD and Postdoc mobility programs to facilitate exchange.

Knowledge Exchange

Activities designed to familiarize researchers with cross-domain methodologies.

Community

Strengthening the network between biology and technology experts.