首页|Reports from University of Saskatchewan Provide New Insights into Machine Learning (Evaluation of Two Miniaturized Ft-nir Spectrometers for Rapid Soil Property Analysis)
Reports from University of Saskatchewan Provide New Insights into Machine Learning (Evaluation of Two Miniaturized Ft-nir Spectrometers for Rapid Soil Property Analysis)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating from Saskatoon, Canada, by NewsRx correspondents, research stated, “Utilizingreflectance spectroscopy to generate the necessary soil data to drive innovations in precision agriculture and soil management is an increasing focus of agronomic research. One of the key limitations for widespreadpractical adoption of reflectance spectroscopy is hardware cost, and lower cost hardware is actively beingdeveloped.”
SaskatoonCanadaNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Saskatchewan
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