Hyperspectral imaging involves capturing and processing images at a large number of wavelengths. Although multispectral imaging can use three or four colors (red, green, blue, and near infrared) to assess the process, hyperspectral imaging breaks the image into tens or hundreds of colors. By using spectroscopy technology, which is used to identify materials based on the behavior of objects that illuminate the light, hyperspectral images acquire more spectral data for each pixel in the scene image.
Read Report Overview: Hyperspectral Imaging in Agriculture Market
The global hyperspectral imaging in agriculture market is expected to reach $56.88 million by 2026, with a CAGR of 11.93% during the forecast period 2021-2026.
This technology has promoted many advancements in precision agriculture, which requires more than basic red green blue (RGB) information. Unlike radiography, hyperspectral imaging is a non-destructive, non-contact technology that can be used without damaging the object under analysis. For example, drones with hyperspectral cameras can detect plant diseases, weeds, soil erosion problems, and estimate crop yields. Hyperspectral imaging has been used in agriculture for a wide range of purposes, including estimating crop biochemical properties and biophysical properties for understanding vegetation physiological status and predicting yield, evaluating crop nutrient status, monitoring crop disease, and investigating soil properties.
A major factor driving hyperspectral imaging in the agriculture market is the increasing crop failure incidents throughout the world. This is primarily caused by the plants being damaged, destroyed, or affected in some way that they fail to form edible fruit, seeds, or leaves in their expected abundance. Crop failure causes a lot of problems and primarily disrupts the supply chain. Through hyperspectral imaging, plant health will be maintained, and crop failure incidents will decrease.
A key challenge for better growth and adoption of hyperspectral imaging in agriculture is the high initial investment. In order to have hyperspectral imaging in the field, specific equipment such as hyperspectral imaging cameras, image processing software, and artificial light sources are required. The high initial investment required for achieving hyperspectral imaging might play a major hindrance in the adoption of technology by small and medium-scale farmers.
In achieving hyperspectral imaging in the agricultural industry, the primary product required is a hyperspectral imaging camera. Through the camera, crop images can be captured, and data is collected that can be analyzed to view the plant characteristics. Along with the camera, artificial light sources are required to maintain the required illumination for the camera to capture plant images. To decode and analyze the pictures captured by the camera, image processing software are required. These software help in analyzing and managing the data procured through hyperspectral capturing.
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Global Hyperspectral Imaging in Agriculture Market (by Region)
The hyperspectral imaging in the agricultural industry is expected to grow in the forecast period. Immense research activities are carried out for the technology to increase the potential of the technology in the agricultural industry. The market is expected to grow in the forecast period due to increased awareness of the benefits of hyperspectral imaging in the agricultural industry along with high technological advancements in certain regions, specifically North America and Europe.
Competitive Landscape of Global Hyperspectral Imaging in Agriculture Market
Research on hyperspectral imaging and its applications in the agricultural industry has proven that hyperspectral imaging has the potential to solve some major issues in the agricultural industry, such as increasing crop failure incidents, food insecurity, and food demand. The players operating in the market have been offering hyperspectral imaging-based solutions for the growers in order to maximize agricultural output. These products also drive toward precision agriculture with the use of sensors and cameras.
The global hyperspectral imaging in agriculture market has seen major development by key players operating in the market, such as product launch, merger and collaboration, business expansion, partnership, and joint venture, among others. The preferred strategy for the companies has been partnerships, collaborations, and joint ventures to strengthen their position in the global hyperspectral imaging in agriculture market. For instance, in June 2021, Surface Optics Corporation partnered with 4Walls Corporation in conjecture with Southern California researcher team on attempts on cleaning the U.S.-Mexico bordered Tijuana River Estuary in a project known as the Border Impact Bond (BIB). The company was approached as a local partner bring its expertise on hyperspectral along with potential multi-spectral solutions for monitoring the situation in the future.
The global hyperspectral imaging in agriculture market is poised to grow in the forecast period with increased developments by key players in the market. Also, growers around the world have started to acknowledge the benefits of hyperspectral imaging in the agricultural industry. The technology, with better adoption, has the potential to revolutionize the agricultural industry.
