首页|American University of Nigeria Researcher Adds New Study Findings to Research in Machine Learning (Comparing Machine Learning Algorithms for Rice Yield Predicti on in Adamawa and Cross Rivers States of Nigeria)
American University of Nigeria Researcher Adds New Study Findings to Research in Machine Learning (Comparing Machine Learning Algorithms for Rice Yield Predicti on in Adamawa and Cross Rivers States of Nigeria)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on artificial intelligence are discussed in a new report. According to news reporting out of American Universit y of Nigeria by NewsRx editors, research stated, “Rice production is critical fo r global food security, and accurate yield prediction empowers informed decision -making.”Our news journalists obtained a quote from the research from American University of Nigeria: “This paper investigates machine learning (ML) techniques for rice yield prediction in Adamawa and Cross River states, with distinct agroclimatic c onditions. Traditional yield prediction methods that are commonly used often hav e limitations such as less insights into the available data and reduced accuracy . Hence, this research explores the potential of machine learning for improved p rediction accuracy. We leverage climatic data and historical rice yields to trai n and evaluate Decision Trees, Random Forest, Support Vector Regressor, Polynomi al Regressor, Multiple Linear Regression and Long Short-Term Memory (LSTM) model s. Performance is compared using Mean Squared Error, Root Mean Squared Error, Co efficient of Determination, Mean Absolute Error, and Mean Absolute Percentage Er ror. Feature selection identifies All-sky Photosynthetically Active Radiation (P AR) as the most influential factor.”
American University of NigeriaAlgorith msCyborgsEmerging TechnologiesMachine Learning
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