AppleLeafDamages

This dataset contains all pictures used for the publication "Applying deep neural networks to predict incidence and phenology of plant pests and diseases" published in Ecosphere. We included three main folders: The folders "standardized_pictures" and "field_pictures" contain the full dataset with all pictures taken during the sampling for the study. The folder "categorized" contains pictures of the six main categories of damages which were used to train deep neural networks. Leaves for standardized pictures and pictures in the field were sampled weekly between April 15th and August 28th 2019 in three apple orchards in central Switzerland, in Kleinwangen, Gelfingen and Waedenswil (split into Weadenswil and Gottshalde in the dataset). We used cameras of two different smartphones, an IPhone 6 (8 megapixel camera) and a Sony Xperia X (23 megapixel camera). Detailed methods can be found in the publication. Codes can be found under: https://doi.org/10.5281/zenodo.5497319

本数据集涵盖发表于《Ecosphere》期刊的论文《应用深度神经网络预测植物病虫害发生与物候》所使用的全部图像资料。本数据集包含三个核心文件夹："standardized_pictures"与"field_pictures"两个文件夹收录了本研究采样阶段拍摄的全部图像，即完整数据集；"categorized"文件夹则收录了用于训练深度神经网络的6类主要为害症状图像。用于制作标准化图像的叶片样本与实地拍摄图像均于2019年4月15日至8月28日期间每周采集，采样地点为瑞士中部的三座苹果园，分别为克莱因旺根（Kleinwangen）、盖尔芬根（Gelfingen）与韦登斯维尔（Waedenswil，数据集内将其拆分为Weadenswil与Gottshalde两个子区域）。本次采样采用两款智能手机拍摄图像，分别为iPhone 6（搭载800万像素摄像头）与Sony Xperia X（搭载2300万像素摄像头）。详细研究方法可参见上述发表论文，相关代码可在以下链接获取：https://doi.org/10.5281/zenodo.5497319