农作物芽期、苗期高质量数据集
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农作物芽期、苗期高质量数据集。数据集聚焦农作物芽期、苗期等关键生长期,通过自主研发的激光除草机器人系统性采集并标注玉米、白菜、大豆、牛膝、棉七等20余种常见农作物在芽期、幼苗期的植株级三维生长数据,数据集体量达2TB,主要超1000万张高分辨率图像样本,标注精准度超99%,作物早期阶段田间作业视频、以及20余种农作物芽期、苗期等机器视觉检测模型算法等。可服务于农作物种植大模型训练、精准农业及数字农业领域作物育种、农产品溯源、农作物生长态势分析、病虫害预警等技术及算法模型研究,以及涉及实现农作物种植生产过程中精准控制和监测相关技术与模型算法开发。
High-quality Dataset for Crop Germination and Seedling Stages This dataset focuses on the critical growth stages of crops including germination and seedling stages. Using an independently developed laser weeding robot, it systematically collects and annotates plant-level 3D growth data of over 20 common crop varieties such as corn, Chinese cabbage, soybean, Achyranthes bidentata, Cotton Seven, etc. The dataset has a total size of 2 TB, mainly comprising over 10 million high-resolution image samples, with an annotation accuracy exceeding 99%. Additionally, it contains field operation videos from the early crop growth stages, as well as more than 20 machine vision detection model algorithms tailored for crop germination and seedling stages and other related resources. This dataset can support the training of crop cultivation large language models, as well as technical and algorithmic research in the fields of precision agriculture and digital agriculture, including crop breeding, agricultural product traceability, crop growth status analysis, pest and disease early warning, and other related areas. It also facilitates the development of technologies and model algorithms related to precise control and monitoring throughout the entire crop planting and production process.




