BASIC STATISTICAL ESTIMATION OUTPERFORMS MACHINE LEARNING IN MONTHLY PREDICTION OF SEASONAL CLIMATIC PARAMETERS

Basic Statistical Estimation Outperforms Machine Learning in Monthly Prediction of Seasonal Climatic Parameters

Machine learning (ML) has been utilized to predict climatic parameters, and many successes have been reported in the literature.In this paper, we scrutinize the effectiveness of five widely used ML algorithms in the monthly prediction of seasonal climatic parameters using monthly image data.Specifically, SPRING CURLING IRON we quantify the predicti

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Compensation effect of winter wheat grain yield reduction under straw mulching in wide-precision planting in the North China Plain

Abstract Climate change and the growing demand for food security force growers to identify ways both to improve food production and to reduce agricultural carbon emissions.Although straw mulching is known to decrease CO2 emissions, winter wheat grain yield in the North China Plain was declined under straw mulching.In an effort to determine the most

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Beliefs, Attitudes and Self-Efficacy of Australian Veterinary Students Regarding One Health and Zoonosis Management

This study Hair Rinse aimed to explore the beliefs and attitudes of a group of senior veterinary students regarding One Health and to evaluate their levels of confidence in advising the general public on preventative health issues at the human−animal interface.An online survey was communicated to senior veterinary students who were in their l

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