用于水稻品种特征选择的机器学习集合分类器

IF 2.9 4区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Chandrakumar Thangavel, D Sakthipriya
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引用次数: 0

摘要

机器学习(ML)对智能农业,尤其是水稻生产率有很大影响。智能农业尤其如此。机器学习对于种子预测、发芽、...
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Machine Learning Ensemble Classifiers for Feature Selection in Rice Cultivars
Machine Learning (ML) has a big impact on smart farming, especially rice productivity. This is especially true for intelligent farming. Machine Learning is crucial for seed prediction, germination,...
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来源期刊
Applied Artificial Intelligence
Applied Artificial Intelligence 工程技术-工程:电子与电气
CiteScore
5.20
自引率
3.60%
发文量
106
审稿时长
6 months
期刊介绍: Applied Artificial Intelligence addresses concerns in applied research and applications of artificial intelligence (AI). The journal also acts as a medium for exchanging ideas and thoughts about impacts of AI research. Articles highlight advances in uses of AI systems for solving tasks in management, industry, engineering, administration, and education; evaluations of existing AI systems and tools, emphasizing comparative studies and user experiences; and the economic, social, and cultural impacts of AI. Papers on key applications, highlighting methods, time schedules, person-months needed, and other relevant material are welcome.
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