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2022年山西农谷番茄小镇温室串番茄果实数据集

宋国柱 石岩 王建 景超 罗改芳 孙胜 王晓丽 李一诺

中国科学数据(中英文网络版)2023,Vol.8Issue(4):427-434,8.
中国科学数据(中英文网络版)2023,Vol.8Issue(4):427-434,8.DOI:10.11922/11-6035.nasdc.2022.0020.zh

2022年山西农谷番茄小镇温室串番茄果实数据集

A dataset of greenhouse cluster tomato fruit in the Tomato Town of Jinzhong National Agricultural High-tech Industries Demonstration Zone in 2022

宋国柱 1石岩 1王建 1景超 1罗改芳 1孙胜 2王晓丽 3李一诺1

作者信息

  • 1. 山西农业大学软件学院,山西太谷 030801
  • 2. 山西农业大学园艺学院,山西太谷 030801
  • 3. 中国农业科学院农业信息研究所,北京 100081||中国农业科学院国家南繁研究院,海南三亚 572024
  • 折叠

摘要

Abstract

The rapid and high-precision identification of tomato fruit is one of the key technologies to enhancing the picking efficiency and reliable operation of tomato picking robots.Therefore,a substantial volume of tomato image data is essential for in-depth learning and training to build a real-time and accurate identification model of tomato clusters.From July to August 2022,we collected the data of cluster tomato in the glass greenhouse in the Tomato Town of Jinzhong National Agricultural High-tech Industries Demonstration Zone,Getou Village,Fancun Town,Taigu District,Jinzhong City,Shanxi Province.We took pictures of cluster tomato in different angles and directions with different models of mobile phones in different light positionsat different times of the day on sunny days and cloudy days.After sorting and screening,we selected 3,665 images with a size of 5.31 GB.LabelImg tool was used to label the selected images with three types of labels:mature,raw and cover,which are stored as TXT documents supporting yolo format,with a size of 0.8MB.We randomly categorized all the images according to an 8∶1∶1 ratio for the training set,validation set,and test set,respectively.We further adopted yolo tools to train and test the tomato cluster dataset.All performance indicators of the test results have been improved to varying degrees,thereby ensuring the authenticity and effectiveness of the tomato cluster dataset.This dataset can be effectively used for constructing the convolution neural network model of cluster tomato at various stages of maturity,so as to further accurately realize the research on yield prediction and maturity-based picking decisions of cluster tomato.

关键词

串番茄/图像/数据集/标注/设施农业

Key words

cluster tomato/image/dataset/tagging/facility agriculture

引用本文复制引用

宋国柱,石岩,王建,景超,罗改芳,孙胜,王晓丽,李一诺..2022年山西农谷番茄小镇温室串番茄果实数据集[J].中国科学数据(中英文网络版),2023,8(4):427-434,8.

基金项目

山西省基础研究计划项目(202103021224173) (202103021224173)

山西省科技厅重点研发项目(202102140601015) (202102140601015)

晋中国家农高区水果番茄智慧标准化技术研究教授、博士工作站资助(JZNGQBSGZZ004).Basic Research Program of Shanxi Province(202103021224173) (JZNGQBSGZZ004)

the Key Research and Development Project of Shanxi Province(202102140601015) (202102140601015)

supported by Professor and Doctor Workstation of Fruit and Tomato Intelligent Standardization Technology Research in Jinzhong National Agricultural High Tech Zone(JZNGQBSGZZ004). (JZNGQBSGZZ004)

中国科学数据(中英文网络版)

OACSCDCSTPCD

2096-2223

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