苹果品种标准叶片图像和光谱数据集

Direct response of Apple leaf nutritional status of Apple growing. China is a major producer of apples, but the country Apple standard data collection is limited to the individual, simple individual species records, did not form a complete and comprehensive response to their Apple standard blade set of data. Therefore, building the different varieties of Apple leaves image and near-infrared spectral data sets is very important. These data not only provide reference for analysis of Apple leaf, also provide data for rapid detection technology study on leaf Nutrition Foundation. Apple resource garden, China collected more than more than 170 varieties of apples grown in the standard leaf, and HD image acquisition and the blade of near-infrared Spectra collection, the establishment of a comprehensive image of Apple's standard blade and spectral data sets. Provides data for the rapid detection of Apple leaf nutrient and precision management support.

本数据集聚焦苹果生长过程中叶片营养状态的直接响应。中国作为苹果生产大国，当前国内苹果标准叶片（Apple standard blade）的相关数据采集仅停留在单一品种的简易记录层面，尚未构建起完整且全面的苹果标准叶片数据集。因此，构建覆盖不同苹果品种的叶片高清图像（HD image）与近红外光谱（near-infrared spectrum）数据集具有重要意义。此类数据不仅可为苹果叶片营养分析提供参考，也为叶片营养快速检测技术的研究奠定了数据基础。本数据集依托中国苹果资源圃，采集了170余个苹果栽培品种的标准叶片，并完成高清图像与近红外光谱数据采集，最终搭建起全面的苹果标准叶片图像与光谱数据集，可为苹果叶片营养快速检测与果园精准管理提供数据支撑。

搜集汇总

背景与挑战

背景概述

该数据集包含超过170个苹果品种的标准叶片高清图像和近红外光谱数据，由中国苹果资源园收集，用于苹果叶片营养分析和快速检测技术研究。数据集大小为16.82 GB，包含348个文件。