Artificial Intelligence for Soil Health
International Conference
04 December 2024, Budapest, Hungary
In partnership with the Budapest Soil Health Forum and the closing events (05-06/12/2024) of the Agricultural Chapter of the Hungarian EU presidency
If you would like to attend the conference online, please register first (deadline 02 Dec. 2024).
Background
Cutting edge technologies which apply artificial intelligence (AI) provide opportunities to make spatial prediction of soil processes more accurate across space and over time.
Although soil is an indispensable economic resource and an essential element in the ecological environment, currently, there is no comprehensive and detailed information on how AI influences and impacts soil changes across the globe and, specifically, Europe. Without this information, a key component of sustainable and efficient soil use is missing.
In order to maximize the use of production potential, environmental services across agriculture, and to enhance the competitiveness of farms and other land dependent enterprises, new information on soil health and novel approaches of soil data management are required. The multiple opportunities made available by AI technologies to produce such information can be adopted to provide new perspectives for monitoring and managing soil resources.
Goals
The conference is organised to provide a forum to exchange information and views among scientists, policy makers and the wider stakeholder community involved across various aspects of land management, land use policy planning and land resources appraisal.
Join us to share your experiences and get an enhanced understanding on the role AI can play in mapping, monitoring and managing soil resources.
The conference aims to provide a platform to highlight progress in the development of soil information, soil use planning and related services across different scales from parcel and farm to global level.
Projects such as AI4SoilHealth, part of the EU Soil Mission, are developing new apps to maximize this technology. The app will harness the emerging potential of AI, integrating new technology such as digital twins and satellite mapping in order to provide powerful, predictive and analytic capabilities. This conference will offer future app users an opportunity to gain a better understanding of the potential for tools like and how technology could enhance soil health evaluation and assessment.
The conference is held under the umbrella of the Budapest Soil Health Forum.
Main themes of the conference
- Soil health indicators and their detection methods
- AI solutions for (semi)automated soil monitoring
- System approach and integrated soil health assessment
- Data management and land information systems
Abstract proposals on other topics related to the area of soil health and AI are also welcome.
We welcome everyone involved in the wider community surrounding soil health – particularly farmers and those representing land users as well as policy makers in the realm of agriculture and forestry.
Submit your application to present at the conference by filling out the abstract application form. We can only accommodate presentations from in-person participants.
Registration
Registration for in-person participation
- with presentation (please fill out the form “Contributions”)
- without presentation
Presentation formats: oral / poster presentation
- oral presentation is expected with on-site participation
In-person participation is limited to 80 participants.
Participants attending in-person will also enjoy two coffee breaks and a light lunch.
Registration and participation on the conference is free of charge
If you would like to attend the conference, please register first on the Registration and Abstract page.
Contributions (presentation/remarks)
a) Scientific contribution in the form of oral/poster presentation
b) Ideas, best practices and questions from users’ perspective: policy-makers, farmers, land-managers and local authorities.
Abstract/summary submission
Please submit the abstract of your scientific contribution or brief summary of your remark in the Registration and abstracts page after completing the registration.
Poster
During the time of the conference printed posters will be on display at the conference venue. Your poster is preferred in portrait orientation with the size of preferably A0. The on-site presentation of the printed posters will be also available on the HUN-REN ATK cloud for the duration of the conference.
Due to the large number of poster presenters, there will be no 2-minute presentations at the beginning of the poster session rather we will have the conventional poster style with person to person discussions.
Important dates
– Abstract or a summary submission for presentation: before 7 October 2024
– Registration for intended in-person participation: before 7 October 2024
(in-persone participation is limited to 80 participants. We will provide confirmation of whatever you have successfully registered for in-person participation by 10 October 2024)
– Feedback on abstract or proposed contribution acceptance (oral/poster) 10 October 2024
– Registration for online participation is open until 03 December 2024
Registration and participation on the conference is free of charge
In-person participation is limited to 80 participants, but online participation is unlimited
Program
Final program available on 20 October 2024
Organisers
HUN-REN ATK Institute for Soil Sciences
and Members of the AI4SoilHealth Consortium (https://ai4soilhealth.eu/partners-2/)
Organising Committee | Scientific Committee |
---|---|
Gergely Tóth | Zsófia Bakacsi |
Nándor Csikós | András Bidló |
Giovanna Giuffre | Claire Chenu |
Julie Wilkins | Carlos Guerra |
Mogens Greve | Bálint Heil |
Tom Hengl | Tamás Hermann |
Isabella Leong | Ingrid Kögel-Knabner |
Dan Iles | Dénes Lóczy |
Grant Campbell | Raisa Mäkipää |
Icshani Wheeler | András Makó |
Beatriz Sarabia | Panos Panagos |
Lea Zamuner | László Pásztor |
Carlo Schiano | Anita Szabó |
Emmanuel Arthur | Brigitta Szabó |
Yusuf Yigini | |
Péter Szilassi |
Practical information
Venue
Residence Károlyi-Csekonics
1088 Budapest, Múzeum u. 17.
Budapest, Reviczky Str. 6
Funders
Funded by the European Union. Views and opinions expressed are however those of the author only and do not necessarily reflect those of the European Union or European Research Executive Agency. Neither the European Union nor the granting authority can be held responsible for them.
This work has received funding from UK Research and Innovation (UKRI) under the UK government’s Horizon Europe funding guarantee [grant numbers 10053484, 1005216, 1006329].