Robotics & Machine Learning Daily News2024,Issue(Jul.10) :104-105.

New Findings from Henan University Describe Advances in Machine Learning (Invers ion of Farmland Soil Moisture Based on Multi-Band Synthetic Aperture Radar Data and Optical Data)

Robotics & Machine Learning Daily News2024,Issue(Jul.10) :104-105.

New Findings from Henan University Describe Advances in Machine Learning (Invers ion of Farmland Soil Moisture Based on Multi-Band Synthetic Aperture Radar Data and Optical Data)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According tonews originating from Kaifeng, Peopl e’s Republic of China, by NewsRx correspondents, research stated,“Surface soil moisture (SSM) plays an important role in agricultural and environmental systems . With the continuous improvement in the availability of remote sensing data, sa tellite technology has experiencedwidespread development in the monitoring of l arge-scale SSM.”

Key words

Henan University/Kaifeng/People’s Repu blic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Se nsing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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