Elena V. Sofiina
Papers
1
Total Citations
6
H-Index
1
About
Elena V. Sofiina is a forward-thinking researcher at the intersection of agricultural science and artificial intelligence, with a primary focus on the development and application of deep learning models for precision farming. Her most cited work, "Model of Agriculture 4.0 Based on Deep Learning: Empirical Experience, Current Problems and Applied Solutions" (2022), has garnered 6 citations and serves as a foundational exploration of how neural networks can revolutionize crop management, yield prediction, and resource optimization. In this paper, Sofiina synthesizes empirical data to address critical challenges in implementing AI-driven agricultural systems, offering practical solutions for real-world deployment. Her contributions are particularly notable for bridging the gap between theoretical AI frameworks and tangible agricultural outcomes, emphasizing scalability and sustainability. While her citation count is still growing, Sofiina’s work is gaining traction among researchers in agri-tech and computer vision, positioning her as an emerging voice in the Agriculture 4.0 movement. Her research not only highlights the transformative potential of deep learning in farming but also identifies key obstacles—such as data scarcity and model interpretability—that future studies must overcome.
Research Focus
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Top Papers
- 1