Facility Tomato and Facility Cucumber Pest and Disease Knowledge Graph Construction Dataset

Facility tomatoes and facility cucumbers are among the most widely grown, produced and processed vegetable crops in the world. With global warming and frequent international trade, pests and diseases of tomato and cucumber are rapidly spreading all over the world, and have become one of the major constraints to world tomato and cucumber production. The construction of a knowledge map of pests and diseases of facility tomato and facility cucumber is a fundamental work to carry out the prevention and control of pests and diseases of facility crops, and plays an important role in the development of precision facility agriculture. The dataset for the construction of the knowledge map of pests and diseases of tomato and cucumber is based on agricultural websites, related books and literature on the Internet, obtained by Python crawler and OCR technology, and the data are cleaned, sorted and merged to form a dataset that contains 70 tomato pests with 8 fields and 34 common pests of cucumber in the facility. This dataset can be used as the construction of the knowledge map of tomato and cucumber pests and diseases, which provides basic data support for the construction of pest prevention and control of tomato and cucumber in China's facilities.设施番茄与设施黄瓜是全球范围内种植、生产与加工规模最广的蔬菜作物之一。随着全球气候变暖与国际贸易往来愈发频繁，番茄与黄瓜的病虫害在全球范围内快速扩散，已成为制约全球番茄、黄瓜产业生产的主要瓶颈之一。构建设施番茄、黄瓜病虫害知识图谱（Knowledge Graph）是开展设施作物病虫害防控的基础性工作，对精准设施农业的发展具有重要支撑作用。本数据集用于番茄、黄瓜病虫害知识图谱的构建，其数据来源于互联网农业网站、相关图书与文献，通过Python爬虫（Python crawler）与光学字符识别（Optical Character Recognition，OCR）技术采集，并经过数据清洗、整理与合并处理，最终形成涵盖70种番茄病虫害（单条数据含8个字段）与34种设施黄瓜常见病虫害的数据集。该数据集可为我国设施番茄、黄瓜的病虫害防控体系建设提供基础数据支持。

搜集汇总

背景与挑战

背景概述

该数据集专注于设施番茄和黄瓜的病虫害知识图谱构建，包含70种番茄害虫（含8个字段）和34种黄瓜常见害虫的数据，通过Python爬虫和OCR技术从网络资源获取并清洗整理。数据集旨在支持设施农业病虫害防控的知识图谱建设，为精准农业提供基础数据支撑。