AgriTech & Smart Agriculture
Mehmet Cam's documented research direction connects smart agriculture, farmer-oriented decision support, sustainable agriculture, rural innovation and applied artificial intelligence.
Research and Development Manager at Tabit Smart Agriculture Technologies, 2021–2023, with applied research work in smart agriculture and decision-support systems.
Documented contribution to the Horizon 2020 AZMUD project in the context of AI-supported farmer decision systems.
Co-author of “Transition to Smart Agriculture: Case of Kasaplar Village,” published by Springer Nature in 2024.
The portfolio connects research design and field context with data-driven tools, AI applications and decision-support concepts.
Research themes
- Smart agriculture and digital transformation of farming.
- Farmer-oriented decision-support systems.
- Applied AI and data science in agricultural contexts.
- Sustainable agriculture and rural innovation.
- Human-centered adoption of agricultural technology.
Related writing
Evidence boundary
This page describes documented professional and research experience. It does not imply current employment at Tabit, ownership of the cited EU project, or scientific conclusions beyond the referenced work.