Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review DOI Creative Commons
Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan Oseledets

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(9), P. 163 - 163

Published: Sept. 13, 2024

The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds tremendous potential across a wide array of fields. By leveraging AI, the processing interpretation vast complex data generated by HSI are significantly enhanced, allowing for more accurate, efficient, insightful analysis. This powerful combination has to revolutionize key areas such as agriculture, environmental monitoring, medical diagnostics providing precise, real-time insights that were previously unattainable. In instance, AI-driven can enable precise crop monitoring disease detection, optimizing yields reducing waste. this technology track changes in ecosystems with unprecedented detail, aiding conservation efforts disaster response. diagnostics, AI-HSI could earlier accurate improving patient outcomes. As AI algorithms advance, their integration is expected drive innovations enhance decision-making various sectors. continued development these technologies likely open new frontiers scientific research practical applications, accessible tools wider range users.

Language: Английский

Synergy between Artificial Intelligence and Hyperspectral Imagining—A Review DOI Creative Commons
Svetlana N. Khonina, Nikolay L. Kazanskiy, Ivan Oseledets

et al.

Technologies, Journal Year: 2024, Volume and Issue: 12(9), P. 163 - 163

Published: Sept. 13, 2024

The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds tremendous potential across a wide array of fields. By leveraging AI, the processing interpretation vast complex data generated by HSI are significantly enhanced, allowing for more accurate, efficient, insightful analysis. This powerful combination has to revolutionize key areas such as agriculture, environmental monitoring, medical diagnostics providing precise, real-time insights that were previously unattainable. In instance, AI-driven can enable precise crop monitoring disease detection, optimizing yields reducing waste. this technology track changes in ecosystems with unprecedented detail, aiding conservation efforts disaster response. diagnostics, AI-HSI could earlier accurate improving patient outcomes. As AI algorithms advance, their integration is expected drive innovations enhance decision-making various sectors. continued development these technologies likely open new frontiers scientific research practical applications, accessible tools wider range users.

Language: Английский

Citations

8