Robotics & Machine Learning Daily News2024,Issue(Aug.16) :41-42.

Xinjiang University Reports Findings in Machine Learning (Objectoriented multi- scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images)

Robotics & Machine Learning Daily News2024,Issue(Aug.16) :41-42.

Xinjiang University Reports Findings in Machine Learning (Objectoriented multi- scale segmentation and multi-feature fusion-based method for identifying typical fruit trees in arid regions using Sentinel-1/2 satellite images)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Xinjiang, People’s Rep ublic of China, by NewsRx editors, research stated, “Fruit treeidentification t hat is quick and precise lays the groundwork for scientifically evaluating orcha rd yieldsand dynamically monitoring planting areas. This study aims to evaluate the applicability of time seriesSentinel-1/2 satellite data for fruit tree cla ssification and to provide a new method for accurately extractingfruit tree spe cies.”

Key words

Xinjiang/People’s Republic of China/As ia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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