Journal of Agricultural Big Data >
Rice Yield Prediction UAV Remote Sensing Image Dataset of Heilongjiang Province in 2023
Received date: 2024-04-17
Accepted date: 2024-06-09
Online published: 2024-12-02
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.
Data summary：
| Items | Description |
|---|---|
| Dataset name | Rice Yield Prediction UAV Remote Sensing Image Dataset of Heilongjiang Province in 2023 |
| Specific subject area | Agricultural Science |
| Research Topic | computer vision |
| Time range | July 2023- August 2023 |
| Temporal resolution | Day |
| Data types and technical formats | .tif,.xlsx,.jpg |
| Dataset structure | The dataset consists of three parts of data. The first part is the multispectral image data of the entire growth period of rice, including six spectral channels: blue (450nm), green (555nm), red (660nm), red edge 1 (720nm), red edge 2 (750nm), and near-infrared (840nm), with a total of 14226 images, approximately 32.6GB; The second part is production data, saved in. xlsx format; The third part is visible light image data used to annotate sampling points, totaling 746 images, approximately 18.9GB. |
| Volume of dataset | 51.5 GB |
| Key index in dataset | Gradient settings, plot labeling, yield, multispectral images, RGB images |
| Data accessibility | CSTR：https://cstr.cn/17058.11.sciencedb.agriculture.00131 DOI：https://doi.org/10.57760/sciencedb.agriculture.00131 NASDC Access link： |
| Financial support | National Science and Technology Major Project（2021ZD0110901） |
Key words： unmanned aerial vehicle (UAV); rice; multispectral imagery; Heilongjiang
YUAN JiangHao, ZHENG ZuoJun, CHU ChangMing, YAO HongXun, LIU HaiLong, GUO LeiFeng . Rice Yield Prediction UAV Remote Sensing Image Dataset of Heilongjiang Province in 2023[J]. Journal of Agricultural Big Data, 2024 , 6(4) : 546 -551 . DOI: 10.19788/j.issn.2096-6369.100031
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