检索结果-南通市图书馆

Nutrient optimization for plant growth in Aquaponic irrigation using Machine Learning for small training datasets

Artificial Intelligence in Agriculture 2022年第1期6卷 68-76页

作者： Sambandh Bhusan Dhal Muthukumar Bagavathiannan Ulisses Braga-Neto stavros kalafatis Department of Electrical and Computer Engineering Texas A&M UniversityUSA Department of Soil and Crop Sciences Texas A&M UniversityUSA

With the recent trends in urban agriculture and climate change,there is an emerging need for alternative plant culture techniques where dependence on soil can be eliminated.Hydroponic and aquaponic growth techniques have proven to be viable alternatives,but the lack of efficient and optimal practices for irrigation and nutrient supply limits its applications on a large-scale commercial basis.The main purpose of this research was to develop statistical methods and Machine Learning algorithms to regulate nutrient concentrations in aquaponic irrigation water based on plant needs,for achieving optimal plant growth and promoting broader adoption of aquaponic culture on a commercial scale.One of the key challenges to developing these algorithms is the sparsity of data which requires the use of Bolstered error estimation approaches.In this paper,several linear and non-linear algorithms trained on relatively small datasets using Bolstered error estimation techniques were evaluated,for selecting the best method in making decisions regarding the regulation of nutrients in hydroponic environments.After repeated tests on the dataset,it was decided that Semi-Bolstered Resubstitution Error estimation technique works best in our case using Linear Support Vector Machine as the classifier with the value of penalty parameter set to one.A set of recommended rules have been prescribed as a Decision Support System,using the output of the Machine Learning algorithm,which have been tested against the results of the baseline model.Further,the positive impact of the recommended nutrient concentrationson plant growth in aquaponic environments has been elaborately discussed.

关键词： Hydroponic Aquaponic Training datasets Non-linear algorithms Semi-bolstered error estimation Linear support vector machine Decision Support System

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Exploring the anti-cancer effects of Panax notoginseng through network pharmacology and molecular modeling

引用

Genes & Diseases 2023年第6期10卷 2229-2232页

作者： Erin M.Thorpe Michael kalafatis Yan Xu Department of Chemistry Science and Research CenterCleveland State University2121 Euclid AvenueClevelandOH 44115USA

The second leading cause of death worldwide is cancer.Cancer is a general term that refers to a highly diverse and complex set of over 200 diseases where abnormal cells grow uncontrollably and avoid death.1 These diseases can start almost anywhere within the body and may develop the ability to invade nearby tissues and spread.Every cancer is the byproduct of a unique combination of various genetic and environmental factors.1 Even within the same individual,different cells may possess distinct cancerous mutations which can mutate further over time.

关键词： diseases cancer Cancer

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：