【摘要】 水稻是我国三大粮食作物之一，准确、高效、及时地预测水稻产量对品种选育和优化田间管理至关重要。无人机遥感系统凭借其快速、无损、成本低、通量高等优势，被广泛应用在作物病虫害识别、作物生长监测和作物表型分析等领域。为探究光谱数据在水稻产量估测方面发挥的作用,本数据集利用无人机遥感采集了水稻生长过程中的多光谱图像。选取106个1 m×1 m的样本点人工采样测产，同时在采样后采集了可见光图像，实现光谱图像和产量数据间的关联。经过人工检查和整理构建了本数据集。数据采集地点为黑龙江省，无人机在无云、光照充足的条件下进行数据采集，采集时间为2023年7月至2023年8月，共采集试验田内不同品种3天的多光谱数据和1天的可见光数据。本数据集各项数据完整，可为产量估测研究提供数据支撑。更多还原

【Abstract】 Rice is one of the three major grain crops in China, and accurate, efficient and timely prediction of rice yield is crucial for variety selection and optimization of field management. UAV remote sensing system is widely used in crop pest and disease identification, crop growth monitoring and crop phenotyping by virtue of its advantages of fast, non-destructive, low cost and high throughput. To explore the role of spectral data in estimating rice yield, this dataset used UAV remote sensing to collect multispectral images of rice growth process, 106 sample points of 1 m×1 m were selected for manual sampling and yield measurement, and at the same time, visible images were collected after the sampling to realize the correlation between spectral images and yield data. The dataset of this paper was constructed after manual checking and organizing. The data collection location was Heilongjiang Province,and the UAV collected the data under cloudless and light-sufficient conditions, and the collection time was from July to August in 2023, and a total of 3 days of multispectral data and 1 day of visible light data were collected with different varieties in the experimental field. The dataset in this paper was complete in all data and provided data support for research on yield estimation.更多还原