Findings in the Area of Machine Learning Reported from Chinese Academy of Scienc es (Long-term Monitoring of the Annual Irrigated Cropland Extent In Fragmented a nd Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery)

Robotics & Machine Learning Daily News2024，Issue(Jul.16) ：3-3.

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Findings in the Area of Machine Learning Reported from Chinese Academy of Scienc es (Long-term Monitoring of the Annual Irrigated Cropland Extent In Fragmented a nd Heterogeneous Arid Landscapes Using Machine Learning and Landsat Imagery)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Lanzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Understanding thelong-ter m spatiotemporal evolution of irrigated cropland is essential for water resource management, butthis knowledge remains elusive in most water-stressed arid area s. In this study, we introduced an integratedframework for long-term and field- scale mapping of annual irrigated cropland in arid and semiarid regions.”Financial support for this research came from Chinese Academy of Sciences.

Key words

Lanzhou/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Chinese Academy of Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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