The EU’s Green Deal sets clear targets for a more competitive and sustainable agriculture. This requires data-driven decision making for farmers, governments and other policy makers. The Horizon Europe ScaleAgData project aims to bridge the data gap of observations at the local level by unlocking, integrating and upscaling the data from in-situ sensors on farms.

The vision

The main vision of the ScaleAGData project is to obtain insights in how the complex data streams should be governed and organized, as well as to develop the data technology (from data streaming, data analytics and AI (Artificial Intelligence) applications) needed to scale data collected at the farm level to regional datasets built for agri-environmental monitoring and the management of agricultural production. 

The objectives

1. Developing innovative approaches for collection in-situ data and applying data technologies by actively involving each stakeholder in the agricultural production process

2. Enabling and promoting data sharing along the entire data value chain

3. Demontrating how the readily accessible , locally collected sensor data can be scaled to agri-environmental data products at the national, regional, or European level

4. Demonstrating the benefit of the improved monitoring capacities of the agri-environmental conditions in a precision farming context

5. Demonstrating the benefit of upscaled regional datasets for the agricultural sector in general

How will we achieve that?

6 Research and Innovation Labs will develop, test and showcase how integrating near real-time (NRT) sensor data can provide improved monitoring capabilities.

These RI Labs will drive innovation, covering:

  • the 4 dimensions of environment: soil, water, air, living organisms (crops & livestock)
  • different biogeographical zones of Europe
  • available sensor data & products 

The 6 RI labs:

Yield monitoring


Crop monitoring


Soil Health

Water Productivity

Yield Monitoring


Crop Monitoring


Soil Health

Water Productivity

The role of IES:

The Institute for Environmental Solutions (IES) will lead the Water Productivity Lab.

The main objective of the Water productivity lab is the development and
demonstration of a service prototype for the early prediction and early detection of drought stress, through the integration and fusion of information from sensors with high temporal (soil probes, weather stations) and high spatial resolution (remote sensing imagers).

This lab is organised in two sub-labs. In Latvia, the target crop is peppermint (Mentha x piperita
officinalis). In Israel, tha target crop is Quinoa (Chenopodium quinoa).

(managed by IES)

Peppermint (Mentha x piperita)
Quinoa (Chenopodium quinoa)
Expected outcomes

– Innovative predictive methodologies for water stress based on fusion of different data sources. (TRL 2 -> 4)
– Data sharing, adaptation of concepts/methodologies and implementation based on two very distinct agriclimatic
zones over Europe, for 2 consecutive years.
– Service prototype validation and demonstration (TRL 4 -> 6) – application of these methodologies in a real
agricultural environment in collaboration with potential end-users
– Benefits for farmers – reduction of water usage by at least 20%, increased yield by at least 20%.

Base information:


Project no.: 101086355

Leading partner: VITO (BE)
Contacts: scaleagdata@vito.be

Project scientific coordinator at IES: Dr Dainis Jakovels, dainis.jakovels@vri.lv

Project implementation: 01.01.2023–31.12.2026

More information HERE.

This project has received funding from the Horizon Europe program under grant agreement no 101086355.