首页|Research from University of Porto Has Provided New Data on Machine Learning (In- Field Hyperspectral Proximal Sensing for Estimating Grapevine Water Status to Su pport Smart Precision Viticulture)
Research from University of Porto Has Provided New Data on Machine Learning (In- Field Hyperspectral Proximal Sensing for Estimating Grapevine Water Status to Su pport Smart Precision Viticulture)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on artificial intelligence is now ava ilable. According to news originating from Porto,Portugal, by NewsRx editors, t he research stated, “Predawn leaf water potential (PS [ [pd] ] ) is the mainparameter to determine plant water status, and it has been broadly used to support irrigation management. However, the Scholander pressure chamber methodology is laborious, time-cons uming and invasive.”
University of PortoPortoPortugalEu ropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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