University of Aberdeen Researcher Adds New Findings in the Area of Machine Learn ing (A Multi-Farm Global-to-Local Expert-Informed Machine Learning System for St rawberry Yield Forecasting)
University of Aberdeen Researcher Adds New Findings in the Area of Machine Learn ing (A Multi-Farm Global-to-Local Expert-Informed Machine Learning System for St rawberry Yield Forecasting)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published. According to news originating from Aberdeen, United Kingdom, by NewsRx editors, the research stated, "The importance of forecasting crop yields in agriculture cannot be overstated." Funders for this research include The Data Lab. The news reporters obtained a quote from the research from University of Aberdee n: "The effects of yield forecasting are observed in all the aspects of the supp ly chain from staffing to supplier demand, food waste, and other business decisi ons. However, the process is often inaccurate and far from perfect. This paper e xplores the potential of using expert forecasts to enhance the crop yield predic tions of our global-to-local XGBoost machine learning system. Additionally, it i nvestigates the ERA5 climate model's viability as an alternative data source for crop yield forecasting in the absence of on-farm weather data."
Key words
University of Aberdeen/Aberdeen/United Kingdom/Europe/Cyborgs/Emerging Technologies/Machine Learning
NETL
NSTL