Robotics & Machine Learning Daily News2024,Issue(Sep.23) :13-14.

Research from Kagoshima University Has Provided New Data on Machine Learning (Ev aluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived fr om RGB-Based UAV Images and Machine Learning Models)

Robotics & Machine Learning Daily News2024,Issue(Sep.23) :13-14.

Research from Kagoshima University Has Provided New Data on Machine Learning (Ev aluation of Sugarcane Crop Growth Monitoring Using Vegetation Indices Derived fr om RGB-Based UAV Images and Machine Learning Models)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in artificial intelligence. According to news originating from Kagoshima, Japan, by NewsRx editors, the research stated, “Crop monitoring with unmanned aerial vehi cles (UAVs) has the potential to reduce field monitoring costs while increasing monitoring frequency and improving efficiency. However, the utilization of RGB-b ased UAV imagery for crop-specific monitoring, especially for sugarcane, remains limited.”

Key words

Kagoshima University/Kagoshima/Japan/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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