The Data of 'UAV Remote Sensing Monitoring of Yellow Leaf Disease of Arecanut'

The areca industry is one of the main sources of income in the Hainan Province of China, accounting for the income of nearly 2.3 million farmers. The areca yellowing disease is a highly infectious disease that has severely deteriorated the production and cultivation of areca. We did a study to apply the multispectral data obtained by using a UAV along with highresolution UAV remote sensing images to monitor the severity of the areca yellowing disease through five machine learning algorithms. The following is the data package of our research: 1.The data in the folder (Areca Vegetation Index) is the vegetation index calculated by the DJI Phantom 4 RTK to obtain the multi-spectral image and then import it into the DJI Terra software through the two-dimensional multi-spectral reconstruction. 2.The data in the folder (Machine Learning Classification) contains the vegetation index data of 200 sampling points of 603 areca trees, the vegetation index data of 57 areca trees and the identification results of the yellowing area, and the yellowing prediction training set of five machine learning methods and the predicted result. 3.The data in the folder (Model Accuracy Analysis) is the accuracy evaluation result of the correlation model between the LVV of areca and the severity of the Yellow Leaf Disease of Arecanut. 4.The data in the folder (The Severity of the Yellow Leaf Disease of Arecanut and LVV) is the prediction results of the severity of the yellow leaf disease of arecanut and the LVV measurement results of 603 areca trees in the research area.

中国海南省槟榔产业是当地农户核心收入来源之一，惠及近230万种植户。槟榔黄化病属于高传染性病害，已严重制约槟榔的种植与生产。本研究借助无人机（UAV）采集的多光谱数据与高分辨率无人机遥感影像，结合五种机器学习算法开展槟榔黄化病严重程度监测工作。现将本研究的数据包说明如下：
1. 【槟榔植被指数（Areca Vegetation Index）】文件夹内的数据：通过大疆精灵4 RTK（DJI Phantom 4 RTK）无人机获取多光谱影像后，将影像导入大疆智图（DJI Terra）软件进行二维多光谱重建，经计算得到的植被指数数据集。
2. 【机器学习分类（Machine Learning Classification）】文件夹内的数据：包含603株槟榔树200个采样点的植被指数数据、57株槟榔树的植被指数数据与黄化区域识别结果，同时涵盖五种机器学习方法的黄化预测训练集与预测结果。
3. 【模型精度分析（Model Accuracy Analysis）】文件夹内的数据：为槟榔叶片病毒载荷量（LVV）与槟榔黄化病严重程度的相关模型精度评估结果。
4. 【槟榔黄化病严重程度与LVV（The Severity of the Yellow Leaf Disease of Arecanut and LVV）】文件夹内的数据：为研究区域内603株槟榔树的黄化病严重程度预测结果，以及其LVV测量数据。