首页|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)
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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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.”
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