Objectives

HortiQD will help to reduce or avoid the usage of pesticides in European orchards, paving the way towards sustainable farming and increasing food quality. It will scale up the intensity of monitoring by automation, hence, ensure the reliability of European food production. It will help analyze and address the impacts of climate change. The project aims for a fully integrated solution, consisting of several innovative sub components. Each of the developments brings benefit to the industry it addresses and opens up new markets, beyond agriculture and food.

To establish real-time automated orchard monitoring of plant health and fruit quality

Develpment of an affordable Machine-Vision system, that is applicable in rough environments and enables fast adaption for future applications

Development of a system to collect, store and analyze data from Hyperspectral Imaging (HSI) subsystem and display data and correlation results to end users

Impacts

Image interpretation of crops disease with AI

HortiQD can add valuable information to theall-encompassing picture of our agri-culturalfood production and play a pioneering role insecure and high efficiency fruit production. Todo this, AI and problem-adapted dataprocessing and management is used, as well aslatest technologies in the field of micro- andnanosystems engineering.

Reinforced European industry leadership across the digitalsupply chain

The HortiQD system’s evaluation units will significantly advance autonomous robotics. It will enable a new level of computing that will be be used in many research areas.

A new perspective for improvement in agricultural

This project will bring state-of-the-artsolutions in robotics, hyperspectral sensing,artificial intelligence, and cloud computing, toEuropean farms, thus increasing thecompetitiveness of our agricultural sector.