Anastasiia Safonova
Papers
1
Total Citations
15
H-Index
1
About
Anastasiia Safonova is a researcher at the intersection of artificial intelligence, ecology, and sustainable agriculture. Her work focuses on harnessing deep learning to address pressing environmental challenges, with a particular emphasis on integrating ecological principles and human involvement into technological solutions. Her most-cited paper, "Deep learning for sustainable agriculture needs ecology and human involvement" (2022, 15 citations), presents a bibliometric analysis of 156 articles, critically examining how deep learning methods have been applied in agriculture. Safonova argues that for AI to truly improve predictability, efficiency, and sustainability, it must move beyond purely technical approaches to incorporate ecological context and stakeholder engagement. This work has positioned her as a thoughtful voice in the growing field of AI for environmental sustainability, bridging the gap between computational methods and real-world ecological systems. Her research is particularly relevant for students and researchers interested in responsible AI, precision agriculture, and the socio-technical dimensions of data-driven environmental management.
Research Focus
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Top Papers
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