首页|New Machine Learning Findings Has Been Reported by Investigators at University o f Manitoba (A Review On Potato Crop Yield and Nitrogen Management Utilizing Remo te/proximal Sensing Technologies and Machine Learning Models In Canada)
New Machine Learning Findings Has Been Reported by Investigators at University o f Manitoba (A Review On Potato Crop Yield and Nitrogen Management Utilizing Remo te/proximal Sensing Technologies and Machine Learning Models In Canada)
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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 from Winnipeg, Canada, by N ewsRx journalists, research stated, "Potatoes are a vital part of our diet world wide, but their cultivation poses challenges due to environmental impacts from t raditional farming methods. Precision agriculture offers a promising solution by managing variability in crop growth and reducing environmental disturbance." Financial supporters for this research include Mathematics of Information Techno logy and Complex Systems (Mitacs), KeyStone Potato Production Association (KPPA) in Manitoba. The news correspondents obtained a quote from the research from the University o f Manitoba, "Remote sensing technologies have become crucial for monitoring crop s and field dynamics more efficiently. In potato farming, the use of remote and proximal sensing technologies facilitates the prediction of yields and nutrient levels. This capability allows farmers to pinpoint the spatiotemporal variations in yields and nutrients, allowing them to make precise management decisions for each specific area of their fields. It is also valuable for monitoring nitrogen levels in plants during the growing season. This helps farmers apply the right amount of fertilizer at the right time, optimizing yields without affecting the environmental quality. While still evolving, remote sensing transforms potato fa rming by providing detailed, non-invasive insights that can enhance productivity and sustainability. Research into different technologies and machine learning m odels for potato farming in Canada has been largely confined to a few provinces. "
WinnipegCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningNitrogenRemote SensingTechnologyUniversity of Manitoba
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