首页|New Machine Learning Findings from Amity University Outlined (Exploring the Tren d of Recognizing Apple Leaf Disease Detection Through Machine Learning: a Compre hensive Analysis Using Bibliometric Techniques)
New Machine Learning Findings from Amity University Outlined (Exploring the Tren d of Recognizing Apple Leaf Disease Detection Through Machine Learning: a Compre hensive Analysis Using Bibliometric Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Rajasthan, India, by NewsRx correspondents, research stated, "This study's foremost objectives were to scrutinize how unexpected weather affects agricultural output and to assess h ow well AIbased machine learning and deep leaning algorithms work for spotting apple leaf diseases. The researchers carried out a bibliometric study to obtain understanding of the current research trends, citation patterns, ownership and p artnership arrangements, publishing patterns, and other parameters related to ea rly identification of apple illnesses." Our news journalists obtained a quote from the research from Amity University, " Comprehensive interdisciplinary scientific maps are limited because syndrome rec ognition is not restricted to any solitary arena of research, despite the fact t hat there have been many studies on the identification of apple diseases. By emp loying a scientometric technique and 109 publications from the Scopus database p ublished between 2011 and 2022, this study attempted to assess the condition of the research area and combine knowledge frameworks. To find important journals, authors, nations, articles, and topics, the study used the automated processes o f VOSviewer and Biblioshiny software."
RajasthanIndiaAsiaCyborgsEmergin g TechnologiesMachine LearningAmity University
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