Hyperspectral imaging has become a technology often associated with quality control and data collection.
What systems and industries use this technology, as well as how the collection and processing of data by drones affects quality control, product control, and even production forecasting, the prevention of natural phenomena, and more. Learn more about hyperspectral imaging in our detailed guide.
How are hyperspectral imaging and quality control related?
Hyperspectral imaging is a technology used for quality control. Agricultural products, for example, can be tracked at a distance without the direct use of on-site resources. Thus, visual inspection is used in the agricultural industry to ensure the collection and processing of data necessary to generate intuitive and instantaneous control.
Hyperspectral imaging is based on the remote collection and processing of a set of data to generate profiles, curves and maps for the user. Thus, the results obtained are used to determine critical thresholds, acceptable thresholds or intervention thresholds.
There are other applications, which you can read about in the Hyperspectral Imaging series of articles in the Blog section of our website.
How is hyperspectral imaging used in agriculture?
This optical or visual technology is very useful as it perfectly illustrates the physiological changes taking place in plants. Certain diseases, nutrient deficiencies, or climatic events can affect the plant and cause it to warp, discolor, etc.
Hyperspectral imaging can detect these phenomena by certain attributes. Each phenomenon will thus be investigated and parameterized for automatic or semi-automatic detection in a given field, territory or specific zone defined by the user.
Hyperspectral imaging is based on the reflection of natural sunlight. Wherein
the rays will be reflected differently depending on the condition of the plant, the environment or
the environment.
What are the needs of farmers?
Drones equipped with the company's hyperspectral imaging technology http://www.air-concept.pl/, help to assess the state of the plant at any time.
In this case, the crop will be controlled, and diseases in most cases are easily detected. Here is how visualization can contribute to the work of farmers and their farms:
- Yield Estimation: Your yield will be optimized thanks to the data provided by the drone. You will then be able to use this data for your calculations and present it with arguments to your board of directors or investors.
- Soil fertility analysis: Fertility is difficult to analyze and predict. The fertilization of your soils depends on the calculations and tests you carry out each year and for each production campaign.
- Adding multispectral and hyperspectral imaging: You will benefit from data processing and reporting that will allow you to better analyze and study the fertility of your soils.
- Pest Control and Detection: You can identify, measure and calculate the development of pests and their impact on your plants.
- Diseases, weeds, or factors that can affect physiological changes in a plant (the way it reflects natural sunlight).
Remember that the use of pesticides and other spraying methods can be optimized and changed depending on the data received from the drone and the analysis of this data.
It is important to monitor the situation to avoid over or under exposure to pesticides on your crops.
Hyperspectral imaging versus production management
Manage production in your fields and territories using data collected by drones. For example, you can evaluate the impact of the passage of agricultural machinery or find areas suffering from a lack of sunlight.
The condition of your soil will also affect production management for a 4 month, 6 month campaign or even longer.
You can compare photos before and after using agricultural equipment to evaluate its impact on the route traveled and on production in general.
Production management is key for all farmers at the start of their campaign
Hyperspectral visualization allows you to control data and use important parameters that lead to amazing results through computational algorithms, comparisons and reports that you will generate, manage and use in production.
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