首页|Researcher at University of Minnesota Describes Research in Machine Learning (Im plementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learni ng to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada)

Researcher at University of Minnesota Describes Research in Machine Learning (Im plementation of Proximal and Remote Soil Sensing, Data Fusion and Machine Learni ng to Improve Phosphorus Spatial Prediction for Farms in Ontario, Canada)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in artificial intelligence. According to news originatingfrom the University of Mi nnesota by NewsRx editors, the research stated, “One of the challenges in site-specific phosphorus (P) management is the substantial spatial variability in plan t available P across fields.To overcome this barrier, emerging sensing, data fu sion, and spatial predictive modeling approaches areneeded to accurately reveal the spatial heterogeneity of P.”

University of MinnesotaCyborgsEmergi ng TechnologiesMachine LearningPhosphorus

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Apr.16)