Learning for Excellence and Technology for Application | GauTure's Academic Paper Successfully Incorporated in CVPR

  On March 2nd, the acceptance results of the international academic conference CVPR 2022 paper were announced, and an academic paper from Anhui GauTure Information Technology Co., Ltd. was successfully accepted.

  The full name of CVPR is "IEEE Conference on Computer Vision and Pattern Recognition", which is the top conference in the field of computer vision and pattern recognition. According to the latest 2021 academic journal and conference influence ranking released by Google Academic, CVPR ranks fourth among all academic journals, second only to Nature, NEJM, and Science. The 40th CVPR in 2022 will be held in New Orleans, Louisiana from June 19 to 24 in the form of online and offline hybrid.

  CVPR attracts a large number of research institutions and universities to attend every year, and has an extremely strict review process for the inclusion of papers, making it extremely difficult to be selected. The inclusion of this paper represents the gratifying achievements of GauTure's R&D team in international cutting-edge theoretical research, key technological breakthroughs, and also symbolizes the recognition of the company's research achievements in the field of artificial intelligence by the international academic community!

  GauTure Company is currently included in CVPR's academic work "GrainSpace: A Large scale Dataset for Fine grained and Domain adaptive Recognition of Cereal Grains", written by a research team led by company leaders and algorithm expert Dr. Fan Lei. GauTure always believes that talent is the cornerstone of enterprise development. Since its establishment, the company has continuously introduced high-end talents from the industry and formed a highly creative research and development team. On the one hand, it focuses on the international technological forefront and conducts research in the field of visual perception, and on the other hand, it serves the cutting-edge technology in the field of visual perception in the field of grain and oil for national food security.

  By applying what has been learned and utilizing the academic achievements of the R&D team, GauTure Company innovatively introduces cutting-edge technologies such as machine vision and deep learning into the field of grain quality detection. It has designed a neural network model GrainNet for grain quality analysis and a grain quality analysis algorithm for high-level quality inspector level detection accuracy. In addition, in order to enrich the sample library, GauTure took the lead in investing and establishing a professional grain laboratory GrainLAB, continuously collecting up to 106 million samples, of which more than 10% are incomplete grains. The types of sample collection areas cover the main grain producing areas of wheat, rice, corn, and other grains in China; On the basis of the laboratory, GauTure Company has also established the first grain feature sample data center in China, continuously collecting 870 million feature maps, of which nearly 40 million are used for visual perception deep learning.

  GauTure is also committed to building a digital quality inspection cloud platform, empowering the grain and oil field with AI, connecting the edge management end of the grain and oil field, establishing a cross regional and multi variety massive grain information perception system, using cutting-edge technology to provide high-quality grain information data services for grain quality management and improvement, providing data reference for the business operation of food and agriculture enterprises, and providing a basis for relevant institutions to make decisions in food and agriculture work, Realize the goal of "integrating intelligence into grain and empowering agriculture".

  GauTure adheres to the path of independent research and development, and has gradually achieved varying degrees of breakthroughs in both academic and technological aspects. Its academic achievements represented by industry papers and technical achievements represented by GauTure AI detectors have been widely recognized in the market. In China's grain and oil industry, head processing enterprises such as Jinshahe Group, COFCO Group Group, Jinmailang Group and Yihai Kerry Group have successively cooperated with GauTure on projects to purchase grain testing equipment from GauTure in batches. In addition, GauTure's grain testing equipment is also widely used in grain testing and storage units such as quality inspection centers at all levels and state-owned grain depots.

  GauTure Company will continue to increase investment in the field of grain and oil, with the goal of becoming a leading enterprise in the field of grain and grain testing. It will continue to create an academic atmosphere in the industry, expand grain databases, improve its scientific research level, and promote the automation and intelligence of the food and agriculture industry.