Hyperspectral imaging has the ability to address major issues of global food safety and food demand. With better adoption of the technology in the agricultural industry, issues such as crop failure, pathogen attack, and plant stress can be managed. Due to the constant monitoring and control over plant health, the agricultural yield can be efficiently maximized by incorporating hyperspectral imaging in agriculture. Also, with constant monitoring of crops, soil conditions can be improved by reducing pesticide and fertilizer input to the soil to manage soil health.

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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.

Hyperspectral imaging in agriculture is expected to drive the precision agriculture industry. In recent times, high emphasis is put on agricultural digitization. This is required to increase global food production and maximize the yield. By adopting hyperspectral imaging in agriculture, the precision agriculture market would grow, and global food demand can be efficiently managed.

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The global hyperspectral imaging in agriculture market is expected to grow more in the coming years with increased emphasis on agricultural digitization. Some of the leading companies operating in the global hyperspectral imaging in agriculture market are Analytik Ltd., BaySpec, Inc., Corning Incorporated, Cubert GmbH, FluroSat, Gamaya, HAIP Solutions GmbH, Imec, ImpactVision, Inc., Inno-spec GmbH, INO, Malvern Panalytical Ltd, Resonon Inc., Surface Optics Corporation, and Teledyne Flir LLC.

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