SDG 17 - Partnerships for the Goals - 1. 3. International collaboration data gathering for SDG - Hungarian University of Agriculture and Life Sciences
SDG 17 - Partnerships for the Goals
SDG 17 - Partnerships for the Goals - 1. 3. International collaboration data gathering for SDG
Last modified: 24. November 2025
1.3. International collaboration data gathering for SDG
MATE actively participates in international collaborations to gather and analyze data related to SDGs. By contributing to global research networks and monitoring initiatives, the university helps track progress, identify challenges, and provide reliable, evidence-based information that supports policymaking and sustainable development efforts worldwide.
Digital Agricultural Academy
MATE's involvement in the Digital Agricultural Academy, a key player in the digital transformation of agriculture, aligns with the gathering and sharing of data for SDG-related agricultural innovations. The platform promotes continuous learning, modern digital tools, and the practical application of precision farming technologies. This initiative helps gather vital data on sustainable farming practices, contributing to SDG targets related to food security, climate action, and sustainable agriculture. MATE's role in this project emphasizes its active participation in global efforts to modernize agriculture and improve data access for sustainable development.
https://digitalisagrarakademia.hu/
Danube Data Cube Project
MATE was a key partner in the Danube Data Cube project, which focuses on collecting and analysing satellite data to monitor the environment of the Danube River Basin. This initiative addresses issues like water quality, climate change, and land use, supporting sustainable development through data-driven insights. By contributing to data sharing and environmental monitoring, MATE plays an integral role in advancing the achievement of relevant SDGs, particularly in the areas of environmental sustainability and policy development.
https://lechnerkozpont.hu/oldal/danube-data-cube
National Wildlife Management Database
The National Game Management Database (OVA), maintained by MATE’s Institute for Wildlife Management and Nature Conservation, was established to collect, store, and process comprehensive data on wild game populations and hunting activity across Hungary. Under legal mandate, the database holds information such as population estimates, management plans, annual reports, and trophy assessments, with geographic visualization support and mapping. Its data services support regulatory and planning tasks in game management, while also serving research and education. Ongoing daily data provision helps authorities, planners, and wildlife managers access up-to-date statistics, making the OVA a central tool for informed wildlife conservation and sustainable game management.
https://vadgazdalkodas.uni-mate.hu/orsz%C3%A1gos-vadgazd%C3%A1lkod%C3%A1si-adatt%C3%A1r
Data‑Driven Cattle Diagnostic
The project titled “Data‑Driven Cattle Diagnostic Decision Support System Integrating the Effects of Climate Change”, carried out in a consortium led by Béke Agrár Ltd. with MATE as a partner, aims to develop an advanced monitoring system for cattle. This system enables more precise tracking of herds by integrating multiple physiological parameters, including heart rate variability, body temperature, movement, and location. Unlike existing solutions, it is designed to operate reliably even under heat stress, offering continuous, lifelong monitoring of stress via heart rhythm analysis. Using wireless sensors placed in the animals’ ears, the system digitally collects and streams data to a central hub, where predictive algorithms interpret the information and present actionable insights to farmers through a user‑friendly interface. It can predict heat stress, detect diseases early, and reliably forecast estrus and calving. Ultimately, the project seeks to improve animal welfare and productivity, especially in large dairy operations, by enabling real-time, stress-aware herd management.
https://palyazatok.uni-mate.hu/en/GINOP_PLUSZ-2.1.1-21-2022-00164
ERA-NET (SHEET) Project
The SHEET project entitled „Sunburn and heat prediction in canopies for evolving a warning tech solution” focuses on developing a modern warning system to predict sunburn and heat stress in fruits. Through international collaboration, the project uses meteorological and microclimate data to create predictive models and tools that help mitigate risks like sunburn. By integrating machine learning and big data processing, it aims to improve orchard management practices, enhancing the sustainability and resilience of agriculture across borders. By the project's conclusion, all models, AI modules, and code will be shared publicly, supporting further research and practical applications in sustainable agriculture.
Permachile Project: Climate Change Monitoring in the Chilean Andes
The Permachile project, involving professors from MATE University, studies climate change impacts, focusing on glaciology and permafrost in the Chilean Andes. Research conducted in 2022/23 also examined the effects of environmental changes on large carnivores. This interdisciplinary project aids in understanding ecosystem dynamics in high-altitude regions.
For more details, visit the website:
https://permachile.com/en/
Soils4Africa
Soils4Africa aims to create an open-access soil information system for the continent, with a focus on key indicators for soil quality and carbon sequestration. The system, which will integrate open Earth Observation (EO) data, focuses on climate resilience, functional ecosystems, and sustainable business models for agriculture. MATE University is a key partner in this international collaboration, alongside other prominent institutions. By contributing to soil health and climate resilience, this project supports sustainable agriculture and ecosystem restoration. It also connects African and European institutions, promoting innovation in sustainable food systems and fostering an open science approach.
https://palyazatok.uni-mate.hu/web/mate-p%C3%A1ly%C3%A1zatok/soils4africa