Weed and Crop Images Dataset for Benchmarking Weed Image Detection Algorithms

Reduced herbicide usage through a real time plant discrimination and weed detection platform. The data consists of images collected in a laboratory testbed, as well as in a broadacre paddock in Cunderdin, WA. The images were collected using a Vita 2000 camera. ARC Linkage Grant Real time plant discriminationand weed detection platform ($429,000) and Government grant: Grains Research & Development Corporation Reduced herbicide usage through application technology, Protecting your Crop Funding: $4,400,033 Link: https://www.ecu.edu.au/faculties/health-engineering-and-science/research-activity/research-centres/electron-science-research-institute/staff/profiles/director/professor-kamal-alameh

本数据集依托实时植物识别与杂草检测平台研发，旨在削减除草剂使用量。数据集包含两类图像：一类采集于实验室测试台，另一类采集于西澳大利亚州（Western Australia, WA）昆德丁地区的大田农田。所有图像均采用Vita 2000相机采集。本项目获得两项资助：其一为澳大利亚研究委员会（Australian Research Council, ARC）联结合作项目资助，项目名称为"实时植物识别与杂草检测平台"，资助金额为429,000澳元；其二为谷物研发公司（Grains Research & Development Corporation, GRDC）的政府资助项目"基于施用技术削减除草剂使用量、守护作物收成"，资助金额达4,400,033澳元。相关项目详情链接：https://www.ecu.edu.au/faculties/health-engineering-and-science/research-activity/research-centres/electron-science-research-institute/staff/profiles/director/professor-kamal-alameh