The airborne germplasm analyzer is a detection device designed for the active flow environment of grains. It adopts near-infrared spectroscopy (NIR) technology and uses 360 ° light penetration method (integrating sphere). When the grain sample passes through the sensor, near-infrared light penetrates the sample, and different components have different absorption and scattering characteristics of light. By analyzing the changes in light signals, the content of protein, moisture, carbohydrates, and fat is synchronously determined.
Main Features
Real time monitoring: It can be installed in harvesters, grain storage and processing facilities to continuously monitor the flow of grains and obtain quality data in real time.
Fast and accurate: capable of accurately measuring small sample sizes (approximately 100g/s) in a short period of time, suitable for various grains such as wheat, barley, corn, soybeans, rapeseed, oats, and rye.
Versatile features: optional camera function to detect green and broken seeds as well as dark mold.
Application scenarios
Agricultural Machinery Integration
Installed on the harvester, it monitors the quality of harvested seeds in real time and guides graded storage or field processing.
Example: Automatically distinguish high protein and low protein wheat during the harvesting process and optimize the subsequent processing flow.
Grain storage and processing
Deploy in grain storage facilities to continuously monitor changes in seed composition during storage and prevent mold growth or nutrient loss.
Research and Breeding
Provide seed composition data to assist breeders in screening target traits (such as high oil and high protein varieties).
Summary: The airborne germplasm analyzer provides an effective and accurate solution for seed quality monitoring in agriculture through near-infrared spectroscopy technology. Its core value lies in real-time and multi parameter detection capability, especially suitable for large-scale planting and processing scenarios. In the future, with the integration of intelligence and IoT technology, its application depth and breadth will be further expanded.