A dataset of UAV multispectral images for banana Fusarium wilt survey

Fusarium wilt of banana, also known as "banana cancer", currently threatens banana production areas worldwide. Timely and accurate identification of Fusarium wilt disease is crucial for effective disease control and optimizing agricultural planting structure. To explore the use of unmanned aerial vehicle (UAV) remote sensing for identifying banana wilt disease, this study obtained comprehensive experimental data on wilted banana plants in a banana plantation in Long'an County, Guangxi. The data set includes UAV multispectral reflectance data and ground survey data on the incidence of banana wilt disease. The UAV multispectral imaging data have high spatial resolution, while the ground survey data is accurate, making them suitable for research on UAV remote sensing identification and monitoring of banana wilt disease. This data set is of great significance for promoting research and application of remote sensing monitoring of crop diseases.香蕉萎蔫病，亦称“香蕉癌”，目前正威胁着全球的香蕉种植区域。对香蕉萎蔫病的及时且准确的鉴定对于有效的疾病控制和优化农业种植结构至关重要。为探讨无人机遥感技术在识别香蕉萎蔫病方面的应用，本研究在广西龙州县香蕉种植园内收集了萎蔫香蕉植株的全面实验数据。该数据集包括无人机多光谱反射率数据和地面调查的香蕉萎蔫病发病率数据。无人机多光谱成像数据具有高空间分辨率，而地面调查数据准确可靠，均适宜于无人机遥感识别和监测香蕉萎蔫病的研究。该数据集对于促进遥感监测作物病害的研究与应用具有重要意义。

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于香蕉枯萎病监测的无人机多光谱图像集合，包含高空间分辨率的遥感数据和准确的地面调查数据，旨在支持无人机遥感技术在作物病害识别与监测中的研究与应用，对优化农业种植结构和病害防控具有重要意义。