Papers
1
Total Citations
15
H-Index
1
About
Masahiro Ryo is an emerging voice at the intersection of artificial intelligence, ecology, and sustainability. His work centers on applying deep learning and data-driven methods to address critical challenges in agriculture and environmental science. In his highly cited 2022 paper, “Deep learning for sustainable agriculture needs ecology and human involvement,” Ryo provides a comprehensive bibliometric analysis of 156 articles, demonstrating how deep learning can enhance predictability and efficiency in farming. Crucially, he argues that technological advances must be grounded in ecological principles and human engagement to achieve true sustainability—a perspective that has resonated widely, earning 15 citations in a short time. Ryo’s research is notable for bridging the gap between computational tools and real-world ecological systems, advocating for interdisciplinary approaches that integrate human decision-making. His work is increasingly influential among researchers seeking to harness AI for environmental stewardship, positioning him as a key thinker in the responsible application of machine learning to global sustainability challenges.
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Top Papers
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