Research status of UAV hyperspectral in agriculture

With the rapid development of UAV technology and the continuous advancement of spectral imaging technology, UAV hyperspectral imaging systems have gradually become an advanced remote sensing technology equipment. The system combines the flexibility of UAVs with the high-resolution characteristics of hyperspectral imaging technology, and is able to collect high-precision spectral data of target objects in the air. This technology not only improves the efficiency and accuracy of data collection, but also broadens the application scope of spectral data.

Modern agriculture has an increasing demand for precision operations. UAV hyperspectral imaging technology can monitor the growth status, nutritional status, pests and diseases of crops in real time, and provide a scientific basis for precision fertilization and precision irrigation. This helps to improve the yield and quality of crops and reduce production costs and environmental pollution.

Through hyperspectral data, crop classification models, yield estimation models, etc. can be established to provide decision support for agricultural production. At the same time, this technology can also evaluate the stress resistance of crops and improve the efficiency of crop research and development.

Application of UAV hyperspectral technology in rice planting

Nitrogen content monitoring: Using drone hyperspectral remote sensing technology, the nitrogen content of the rice canopy can be monitored in real time. By comparing the hyperspectral images of rice canopy under different nitrogen fertilizer treatments, a nitrogen content inversion model can be established to provide a scientific basis for rice nutritional diagnosis.

For example, the research team of Shenyang Agricultural University used a drone equipped with an airborne hyperspectral imaging system to measure the hyperspectral reflectance and total nitrogen content of rice during the greening, tillering, jointing and heading stages. The marine predator algorithm and genetic algorithm were used to extract characteristic bands, and the extreme learning machine algorithm was used to establish an inversion model for nitrogen content in rice canopy.

Pest and disease monitoring: Hyperspectral imaging technology can capture subtle changes in different growth stages of crops, including the occurrence and development of pests and diseases. By analyzing hyperspectral data, signs of pests and diseases can be discovered in a timely manner, providing an important basis for taking timely prevention and control measures.

Growth status assessment: UAV hyperspectral technology can also be used to assess the growth status of rice, including monitoring of indicators such as biomass and leaf area index. These data are of great significance for formulating scientific field management measures.

Precision fertilization management: Combining UAV hyperspectral remote sensing technology and intelligent decision-making systems, a fertilization "prescription map" for different fields can be generated to guide farmers to carry out precise fertilization. This can not only improve the utilization rate of fertilizers, but also reduce the pollution of the environment caused by excessive fertilization.

UAV hyperspectral equipment

Color spectrum FS-60C+FS62C

Color spectrum FS-60C collection puzzle

Color spectrum FS-62C collection puzzle

Color spectrum FS-60C NDVI index

Color spectrum FS-62C plant stress

Future Outlook

With the continuous development and improvement of UAV hyperspectral technology, its application in rice planting will be more extensive and in-depth. In the future, we can expect more innovative research and application cases to emerge, providing strong support for the digital and intelligent transformation of rice production.

As the country pays more and more attention to agriculture, forestry, water environment and other fields, relevant policy documents have been issued to encourage and support the research and development and application of UAV hyperspectral imaging technology. These policies provide strong guarantees and broad space for the development of UAV hyperspectral technology.

In summary, the application background of UAV hyperspectral is multifaceted, including technical background, industry demand background and policy support background. These factors have jointly promoted the rapid development and widespread application of UAV hyperspectral technology.