检索结果-南通市图书馆

Artificial Intelligence in Agriculture 2024年第3期13卷 18-31页

作者： Arantza Bereciartua-Pérez María Monzón Daniel Múgica Greta De Both Jeroen Baert Brittany Hedges Nicole Fox jone echazarra Ramón Navarra-Mestre TECNALIA Basque Research and Technology Alliance(BRTA)Parque Tecnológico de BizkaiaAstondo Bidea.Edificio 70048160 DerioBizkaiaSpain BASF SE Speyererstrasse 267117 LimburgerhofGermany BASF Belgium(BBCC-Innovation Center Gent) Technologiepark-Zwijnaarde 1019052 GentBelgium BASF Canada Inc 51028 Quarry Park Blvd SECalgaryAlberta T2C 4P5Canada

Estimation of damage in plants is a key issue for crop ***,experts in the field manually assess the *** is a time-consuming task that can be automated thanks to the latest technology in computer vision(CV).The use of image-based systems and recently deep learning-based systems have provided good results in several agricultural *** image-based applications outperform expert evaluation in controlled environments,and now they are being progressively included in non-controlled field applications.A novel solution based on deep learning techniques in combination with image processingmethods is proposed to tackle the estimate of plant damage in the *** proposed solution is a two-stage *** a first stage,the single plants in the plots are detected by an object detection YOLO based *** a regression model is applied to estimate the damage of each individual *** solution has been developed and validated in oilseed rape plants to estimate the damage caused by flea *** crop detection model achieves a mean precision average of 91%with a mAP@0.50 of 0.99 and a mAP@0.95 of 0.91 for oilseed rape *** regression model to estimate up to 60%of damage degree in single plants achieves a MAE of 7.11,and R2 of 0.46 in comparison with manual evaluations done plant by plant by *** are deployed in a docker,and with a REST API communication protocol they can be inferred directly for images acquired in the field from a mobile device.

关键词： Convolutional neural networks Deep learning Plant phenotyping Damage estimation Plant crop detection and identification

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

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

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：