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25 Jan 2022 / 13:45 - 14:30
AI for Environment and Agriculture
Two of the greatest challenges humanity faces today are feeding the growing population of the Earth and protecting the environment.
Artificial intelligence plays an increasing role in environmental protection, allowing for more effective environmental modelling and management. For example, remotely sensed data can be used for machine learning to address a variety of tasks, including environmental monitoring and environmental risk assesment. To rise up to the two grand challenges, agriculture must effectively deal with conflicting demands: The increase of the Earth’s population calls for high yields of quality crops, while increasing environmental pressures on Earth’s ecosystems dictate sustainable agricultural production that burdens the environment as little as possible. Examples of how AI can help agriculture is the use of machine learning to build models for yield prediction as well as the use of decision modelling to asses the multiple functions of agricultural soil and to suggest measures for improving them. The class will review the use of AI for environment and agriculture through illustrative case studies.
Sašo Džeroski is head of the Department of Knowledge Technologies at the Jozef Stefan Institute (Ljubljana, Slovenia) and a full professor at the Jozef Stefan International Postgraduate School.
He is also a visiting professor at the European Space Agency (Frascati, Italy). His department develops artificial intelligence methods for machine learning and decision support and uses them to solve practical problems from agriculture and environmental sciences, medicine and life sciences, and space operations/Earth observation. He has conducted many international projects in basic and applied research, including projects for ARVALIS, Institut du vegetal and the European Space Agency. Sašo Džeroski has been the chair of numerous international conferences, including ICML, the world-leading conference on machine learning, and ECML PKDD, the premier Europen international event on data science. He is currently the chair of the Slovenian Artificial Intelligence Society. He has become a fellow of EurAI, the European Association of Artificial Intelligence, in recognition for his “Pioneering Work in the field of AI and Outstanding Service for the European AI community”. He is a foreign member of the Macedonian Academy of Sciences and Arts (Skopje, North Macedonia) and a member of Academia Europea (European Academy of Humanities, Letters and Sciences).