In today's increasingly important world of food security and quality control, wheat, as one of the main staple foods, requires precise inspection of its appearance quality for the procurement, storage, and processing processes. The product launched by Dongfu JiuhengJLWT150Wheat Appearance Quality Analyzer, relying on advanced image analysis technology and artificial intelligenceAITechnology provides efficient and accurate solutions for wheat quality testing, becoming an important tool for industry users to ensure food quality.

Technical features: Integration of automation and intelligence

JLWT150The core advantage of the wheat appearance quality analyzer lies in its fully automated detection process. The device adopts double-sided image acquisition technology, combined withAIDeep learning models can be used in8Complete within minutes150The testing of wheat samples includes incomplete grains, diseased grains, moldy grains, insect eaten grains, damaged grains, and sprouting grains6Key indicators. Its detection accuracy is as high as99.5%, consistent with the level of professional quality inspectors, and the repeatability, stability, and inter platform performance all meet industry standardsLS/T 6402-2017requirement

Equipment configuration10.1Inch touch screen, simple and intuitive operation interface, supports one click start detection. Users only need to place the sample into the automatic sampling chamber, and the system can complete image acquisition, analysis, and result output without manual intervention throughout the process. In addition, the device has a built-in regression model that can accurately predict particle weight, which meets the national grain inspection standardsGB/T 5494Require and support printing of test reports for easy data archiving and traceability.

Application scenario: Full industry chain coverage

This analyzer is suitable for various scenarios such as grain and oil quality inspection units, grain storage enterprises, flour and food processing enterprises, scientific research institutions, and universities. In the grain procurement process, equipment can quickly screen for unqualified wheat, avoiding subjective errors in manual visual inspection and improving procurement efficiency; In storage management, by regularly detecting the content of moldy and insect infested grains, the risk of mold growth can be warned in a timely manner, reducing storage losses; In the processing stage, precise classification of damaged and diseased grains helps optimize the wheat blending scheme and improve the stability of flour quality.

The fields of scientific research and teaching have also benefited greatly. Universities and institutions can use equipment to collect wheat phenotype data, combined with genomics research, to accelerate the breeding process of disease resistant and stress resistant varieties. Its non-destructive detection characteristics are also applicable for long-term monitoring of seed resource banks, providing data support for genetic improvement.

Industry Value: Cost Reduction, Efficiency Enhancement, and Quality Assurance

Traditional wheat quality inspection relies on manual sorting and microscopic observation, which is time-consuming and susceptible to subjective factors.JLWT150The promotion and application of this technology significantly reduces labor costs, and a single test can save money30More than minutes of manual labor time. Taking medium-sized grain depots as an example, the annual sample processing volume exceeds10Ten thousand copies, the annual cost savings of quality inspection after equipment investment can reach hundreds of thousands of yuan. At the same time, its detection data provides scientific basis for grain pricing, grading, and process optimization, helping enterprises enhance their market competitiveness.

As an innovative tool in the field of grain quality inspection,JLWT150The wheat appearance quality analyzer is driving the industry towards intelligence and standardization, contributing technological strength to ensuring national food security.