首页|Research from Mediterranean Agronomic Institute of Chania (MAICh) Yields New Dat a on Machine Learning (Discrimination of 14 olive cultivars using morphological analysis and machine learning algorithms)
Research from Mediterranean Agronomic Institute of Chania (MAICh) Yields New Dat a on Machine Learning (Discrimination of 14 olive cultivars using morphological analysis and machine learning algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Research findings on artificial intelligence are discussed in a new report. According to news reportingoriginating from Chania, Greece, by NewsRx correspondents, research stated, “Traditional morphologicalan alysis is a widely employed tool for the identification and discrimination of ol ive germplasm by usingmorphological markers which are monitored by subjective m anual measurements that are labor intensiveand time-consuming. Alternatively, a n automated methodology can quantify the geometrical featuresof fruits, leaves and endocarps with high accuracy and efficiency in order to define their morphol ogicalcharacteristics.”
Mediterranean Agronomic Institute of Cha nia (MAICh)ChaniaGreeceEuropeAlgorithmsCyborgsEmerging TechnologiesMachine Learning
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