Eureka Clusters Sustainability Call 2022 projects

AgAPP-e

AgAPP-e: Agriculture’s digital Analyser of Production, for Phosphorus efficiency

Project leader
Experteam (Türkiye)

For improved production and environmental protection, fertiliser management needs to be local or site-specific; depending on the regional metabolism, agricultural efficiency can be increased even fourfold if the flows and stocks are well-observed. Digital solutions will greatly improve the management of such essential resources, but these are currently missing, leaving the farmer without simple tools capable of providing targeted diagnoses for targeted treatments. AgAPP-e aims to automate fertiliser recommendations and thereby improve accuracy and increase the phosphorus efficiencies of a nation.

RETAILL

REtail using Technology based on Artificial InteLLigence

Project leader
Polytechnic Institute of Porto (Portugal)

Fresh food quality and safety products are a challenge for the retail sector, in particular for perishable foods that are stored for long periods, spoiling quickly. In view of this, we want to develop a smart system that can allow a cost-efficient supply chain providing alternatives to improve the food life cycle and sustainability.

SmartAgroInsurance

Agro Insurance Data Management Platform with API Services

Project leader
SFS Danışmanlık Bilgi İşlem San. ve Dış Tic. A.Ş (Türkiye)

Agricultural insurance is a global, fast-growing billion-dollar industry and, due to the effects of climate change, it is becoming more important every day. Effective insurance policies stabilise farm income, reduce poverty and ensure a climate safety net for food producers. SmartAgroInsurance aims to develop a Smart Agriculture Insurance Data Management Platform to provide, analyse and integrate agricultural data from different sources with insurance industry know-how so that insurance companies can achieve better premium calculations, claim automation and fraud prevention and provide supportive, damage-preventing advice to the farmer.

iDT4GDC

Intelligent Digital Twin Platform for Climate-Neutral Data Centres

In this project, we aim to develop our award-winning artificial intelligence (AI) and digital twin (DT) technologies into a cloud AI platform to digitalize, optimize and automate data center operations for sustainability purpose. We will adopt the EU climate neutral data center pact as our reference framework to guide data centre operations and management in five thrusts, including power, carbon, water, circular economy and governance, towards a sustainable future.

DefectFree

Machine learning and artificial vision for 0% waste textile production

Project leader
Smartex (Portugal)

With the aim of reducing defective textiles to close to 0%, this proposal intends to develop a new system based on artificial intelligence, machine learning, and computer vision that, once installed into circular knitting machines, can detect defects in complex fabrics in real-time during production. The economic and environmental benefits of this proposal are evident, being that the textile industry is one of the largest in the world, as well as one of the most polluting.

Resource2Tap

Integrated Resource Management Platform for Water Distribution System

Project leader
Reengen (Türkiye)

An integrated monitoring system will be developed to prevent water losses and indirect energy losses in urban water distribution systems, and to optimize the energy consumption of the distribution system. The water leakage prevention system will offer hardware and software solutions to be developed for the detection of technical losses in the water distribution network and an end-to-end monitoring system. Resource2tap will develop a product with high commercialization potential that will prevent technical losses with an IoT-based endpoint monitoring system and a conventional neural network-based data analysis software.

SMCMSSPPA

Saw Machine that Can Make Smart and Sustainable Production with Prediction Algorithms

Project leader
Beka-Mak Makina Sanayi ve Ticaret A.Ş. (Türkiye)

Sawing machines used to bring the raw material to the desired dimensions in industrial production companies are of great importance since they are at the beginning of the production line and they have a great effect on the production efficiency. In this framework, it is aimed to manufacture sawing machines with smart and sustainable production techniques, which automatically optimizes the cutting parameters (cutting speed, surface quality…) with the data to be collected from the field and provides error and life cycle estimation on machine equipment.

UAV-GG

Monitoring Greenhouse Gases with Long-Range Unmanned Aerial Vehicles and Novel Spectroscopic Sensors

Project leader
Romaeris Corporation (Canada)

The project will use novel long-range, large-payload Unmanned Aerial Vehicles (UAVs) to carry innovative spectroscopic sensors to monitor multiple greenhouse gases (GHGs) over large geographic areas, locate emissions sources, take action, and vastly improve our understanding of GHG emissions. A data portal will be created to make such GHG information available for governments and industry worldwide, and the data will be made compatible with other sources of information such as satellites so that comprehensive and accurate GHG reporting is at last possible.