Lac Louis, Keresztes Barna, Louargant Marine, Donias Marc, Da Costa Jean-Pierre
IMS UMR 5218, CNRS, Talence F-33405, France.
CTIFL, 28 Route des Nebouts, Prigonrieux, France.
Data Brief. 2022 Mar 9;42:108035. doi: 10.1016/j.dib.2022.108035. eCollection 2022 Jun.
This article introduces a dataset of 2 801 images of vegetable crops. Maize (), bean () and leek () crops at an early stage of development (between 2 and 5 weeks from seeding of transplanting) are supported. Two kinds of annotations are provided: (i) bounding boxes enclosing the crops of interest or their stems, weeds being left apart, and (ii) crop structures in the form of star graphs whose vertices are the plant organs (stems and leaves) and whose edges represent the connections between them. The images have been captured in various production and experimentation plots in France using an acquisition module which controls light conditions. They present a wide variety of soil conditions, weed infestation and growth stages. This dataset can benefit precision hoeing and in-field crop monitoring applications that are based on proximal imagery.
本文介绍了一个包含2801张蔬菜作物图像的数据集。该数据集涵盖了处于发育早期阶段（播种或移栽后2至5周）的玉米（）、豆类（）和韭菜（）作物。提供了两种注释：（i）围绕感兴趣作物或其茎部的边界框，杂草单独分开；（ii）以星形图形式呈现的作物结构，其顶点为植物器官（茎和叶），边表示它们之间的连接。这些图像是在法国的各种生产和试验地块中，使用控制光照条件的采集模块拍摄的。它们呈现出各种各样的土壤条件、杂草侵扰情况和生长阶段。该数据集可惠及基于近景图像的精准中耕和田间作物监测应用。
