首页|Findings from Northwest A&F University Provides New Data on Machine Learning [Monitoring of Soil Moisture Content of Win- ter Oilseed Rape (brassica Napus L.) Based On Hyperspectral and Machine Learning Models]
Findings from Northwest A&F University Provides New Data on Machine Learning [Monitoring of Soil Moisture Content of Win- ter Oilseed Rape (brassica Napus L.) Based On Hyperspectral and Machine Learning Models]
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2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learning have been published. According to news reporting originating from Xianyang, People’s Republic of China, by NewsRx correspondents, research stated, “Timely acquisition of soil moisture content (SMC) in the root zone of field crops is crucial for achieving precise irrigation. In this study, high-spectral technology was employed to collect both SMC data at different soil depths during the bolting stage of winter oilseed rape (Brassica napus L.) and corresponding hyperspectral data through two consecutive years of field experiments (2021-2022).” Financial support for this research came from National Natural Science Foundation of China (NSFC).
People’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningNorthwest A&F University
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