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Titlebook: Data Science and Intelligent Applications; Proceedings of ICDSI Ketan Kotecha,Vincenzo Piuri,Rajan Patel Conference proceedings 2021 The Ed

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樓主: architect
41#
發(fā)表于 2025-3-28 16:51:35 | 只看該作者
KyPlot as a Tool for Graphical Data Analysise-processing, image segmentation, feature extraction, and classification. In this paper, we have tried to provide solution to automatically detect and classify cotton plant leaf diseases which in turn will enhance productivity of crops.
42#
發(fā)表于 2025-3-28 22:18:38 | 只看該作者
https://doi.org/10.1007/978-3-642-52463-9 the help of a survey questionnaire based on Likert scale from 100 IT employees. Exploratory factor analysis and regression analysis are used to identify the effect of information technology on job factors like job satisfaction, work–life balance, health and safety, performance and productivity.
43#
發(fā)表于 2025-3-29 02:58:14 | 只看該作者
Rudolf Dutter,Wilfried Grossmannt our model achieved precision between 65 and 75%, for separate class tests, on average 66%. The global objective of this project was to develop an innovative tool to investigate the quality of chilies from their color using image analysis to improve its applicability for commercial use in edible products.
44#
發(fā)表于 2025-3-29 05:42:25 | 只看該作者
45#
發(fā)表于 2025-3-29 09:39:14 | 只看該作者
46#
發(fā)表于 2025-3-29 14:58:21 | 只看該作者
Big Data Mining on Rainfall Data,data like Hive and Pig are popularly known to handle such type of data. But these tools and techniques individually are inadequate for mining data efficiently. We have reviewed the research in the area of mining rainfall data and identified the gaps in the existing approaches.
47#
發(fā)表于 2025-3-29 18:34:37 | 只看該作者
Disease Prediction in Plants: An Application of Machine Learning in Agriculture Sector,e-processing, image segmentation, feature extraction, and classification. In this paper, we have tried to provide solution to automatically detect and classify cotton plant leaf diseases which in turn will enhance productivity of crops.
48#
發(fā)表于 2025-3-29 20:29:40 | 只看該作者
49#
發(fā)表于 2025-3-30 00:37:50 | 只看該作者
Quality Grading Classification of Dry Chilies Using Neural Network,t our model achieved precision between 65 and 75%, for separate class tests, on average 66%. The global objective of this project was to develop an innovative tool to investigate the quality of chilies from their color using image analysis to improve its applicability for commercial use in edible products.
50#
發(fā)表于 2025-3-30 07:18:04 | 只看該作者
Conference proceedings 2021r Institute of Technology (GIT), Gujarat, India, on January 24–25, 2020. The proceedings present original and high-quality contributions on theory and practice concerning emerging technologies in the areas of data science and intelligent applications. The conference provides a forum for researchers
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