Findings from University of Western Ontario in the Area of Machine Learning Repo rted (Local Field-scale Winter Wheat Yield Prediction Using Venms Satellite Imag ery and Machine Learning Techniques)

Robotics & Machine Learning Daily News2024，Issue(Oct.10) ：8-8.

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Findings from University of Western Ontario in the Area of Machine Learning Repo rted (Local Field-scale Winter Wheat Yield Prediction Using Venms Satellite Imag ery and Machine Learning Techniques)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating from London, Ca nada, by NewsRx correspondents, research stated, “Reliable and accurate crop yie ld prediction at the field scale is critical for meeting the global demand for r eliable food sources. In this study, we tested the viability of VEN mu S satelli te data as an alternative to other popular and publicly available multispectral satellite data to predict winter wheat yield and produce a yield prediction map for a field located in southwestern Ontario, Canada, in 2020.”

Key words

London/Canada/North and Central Americ a/Cyborgs/Emerging Technologies/Machine Learning/University of Western Ontar io

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出版年

2024

Robotics & Machine Learning Daily News

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