How does a agriculture Multispectral camera work

In the agriculture,forestry, water resources fields,the drone is widely used,especially the drone with multispectral camera,it greatly improve the efficiency and the accuracy of the work in these areas. but how it works?From the below you will know.

The human eye is only sensitive to wavelengths between 400 and 700 nm, which is called the visible spectrum. People can feel the various colors from purple to red. However, the wavelength of light can be shorter (UV) or longer (infrared) than we can see. Although we can’t see them, these invisible bands are a good indicator of the agronomic characteristics of soil, plants and crops. In the past agricultural production, farmers observed the health of soil and crops with the naked eye, which is very limited and backward. Multispectral sensor technology can see more things than the farmer’s naked eye.

The multi-spectral image sensor captures image data of a specific frequency by electromagnetic spectroscopy, and can extract other additional information that the human eye fails to capture. Utilizing multi-spectral imaging camera sensors on agricultural drones, farmers can more effectively manage crops, soil, fertilization and irrigation, minimizing spray, fertilizer, and wasting water while increasing crop yields for farmers and the wider The environment has huge benefits.

What are the uses of multispectral imaging data?

1. Identify pests, diseases and weeds. Optimize pesticide use and crop spray through early detection.
2. Provide data on soil fertility and optimize fertilization by detecting nutrient deficiencies. Help land management, whether to produce or convert crops.
3. Calculate the plants and determine the number of crops or planting spacing issues. Estimate crop yields.
4. Measure irrigation. Control crop irrigation by identifying areas of suspected water stress. Land improvement based on multi-spectral data, such as installation of drainage systems and waterways.
5. Check the damage of crops by agricultural machinery, make necessary repairs or replace the problematic machinery.
6. Investigate fences and farm buildings.
7. Monitor livestock.
8. Assessment of crop growth status.
9. Crop lodging level rating analysis.
10. Analysis of forest vegetation, monitoring of forest pests and diseases.

It is an information tool that can greatly enhance agricultural productivity.