Germination rate/germination potential is an important indicator to measu re the growth state of seeds, and real-time adjustment of environmental conditions based on germination status is also a core topic of smart agriculture. Based on spectral cameras, germination potential can be dynamically monitored, providing an important basis for subsequent intelligent regulation and regulation of plant growth status.

Coal gangue is the solid waste discharged in the process of coal mining and coal washing, and the current detection method is mainly manual, time-consuming and labor-intensive. Based on the reflection characteristics and visual images of different coal gangue, the classification and screening of various coal gangue are carried out.

The production process of color pencils needs to be packaged according to customer requirements. At present, relying on human eye observation, the spectral camera with a high error rate collects the spectral image of the pencil on the detection line, identifies the color of each pencil according to the spectral characteristics of the pencil, and identifies the product with packaging errors and gives the specific position.

Crop growth information reflects the trend and state of crop growth, which is an important part of agricultural information. Spectral camera dynamically adjusts and predicts the distribution state of real-time crop seedling situation and environmental dynamics, so as to timely carry out various management measures for crop distribution, water and fertilizer market and disease conditions, and provide timely and accurate data information for crop production management.

Some objects on the PCB board are consistent with the background color. At present, multiple photos are taken by multi-camera + multi-color light source to achieve "multi-spectrum" detection with low cost and high efficiency. The spectral camera is equipped with a single light source, and the multi-spectral image can be obtained by taking a single shot on the detection line, reducing cost and increasing efficiency.

Apples, oranges, tangerines, kiwifruit and other fruits, as well as peanuts, sunflower seeds and other dried fruits, need to be sorted after picking. In addition to detecting surface defects, the spectral camera can also detect internal defects of fruits and vegetables to improve the sorting effect.