首页|Reports Outline Machine Learning Study Findings from Beihang University (A Syner gistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learn ing to Estimate Wheat Crop Traits in Pakistan)

Reports Outline Machine Learning Study Findings from Beihang University (A Syner gistic Framework for Coupling Crop Growth, Radiative Transfer, and Machine Learn ing to Estimate Wheat Crop Traits in Pakistan)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingfrom Beijing, People’s Republic o f China, by NewsRx journalists, research stated, “The integration of the Crop Gr owth Model (CGM), Radiative Transfer Model (RTM), and Machine Learning Algorithm (MLA)for estimating crop traits represents a cutting-edge area of research.”

Beihang UniversityBeijingPeople’s Re public of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.10)