Learning by Learning, Using by Using | GauTure's Academic Papers Successfully Included in CVPR

  On March 2, the international academic conference CVPR 2022 paper acceptance results were announced, an academic paper of Anhui GauTure Information Technology Co.

  CVPR is called "IEEE International Conference on Computer Vision and Pattern Recognition".（IEEE Conference on Computer Vision and Pattern Recognition）”，It is the top conference in the field of computer vision and pattern recognition. According to the latest 2021 rankings of the impact of academic journals and conferences published by Google Scholar, CVPR is ranked 4th among all academic journals, behind Nature, NEJM, and Science.The 40th edition of CVPR 2022 will be held in a hybrid online and offline format from June 19-24 in New Orleans, Louisiana.

  CVPR attracts a large number of research institutions and universities to participate in the conference every year, and the inclusion of papers has an extremely strict review process, which makes it extremely difficult to be selected. The inclusion of this paper represents that GauTure's R&D team has made gratifying achievements in international cutting-edge theoretical research and key technology breakthroughs, and also symbolizes that the company's research results in the field of artificial intelligence have been recognized by the international academic community!

  GauTure's current scholarly work included in CVPR《GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains》，Led by the company's leadership and written by the research team of algorithmic expert Dr. Fan Lei, who is the leader of the algorithm for the analysis algorithm of cereal physical features recognition. GauTure always believes that talents are the cornerstone of enterprise development. Since the establishment of the company, it has continued to introduce high-end talents in the industry and formed a R&D team with strong creativity, which is oriented to the international scientific and technological frontiers to carry out research in the field of visual perception on the one hand, and oriented to the food security of the country on the other hand, and serves the state-of-the-art technologies in the field of visual perception to the field of grains and oils.

  Learning by applying, utilizing the academic achievements made by the R&D team, GauTure innovatively introduces cutting-edge technologies such as machine vision and deep learning into the field of grain quality inspection, and designs GrainNet, a neural network model for grain quality analysis, and grain quality analysis algorithms with advanced quality inspector level inspection 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 samples up to 106 million, of which imperfect grains accounted for more than 10%, and the types of sample collection areas covered the main production areas of wheat, rice, corn and other grains nationwide; on the basis of the laboratory, GauTure has also established the first grain characteristic sample data center in the country and continuously On the basis of the laboratory, Gaozhe has also established the first grain feature sample data center in China, which has continuously collected 870 million feature samples, of which nearly 40 million feature samples are used for deep learning of visual perception.

  GauTure is also committed to building a digital quality inspection cloud platform, empowering the grain and oil field with AI, opening up the side and pipe end of the grain and oil field, establishing a cross-region, multi-species massive grain information perception system, using cutting-edge technology to provide high-quality grain information data services for grain quality management and enhancement, providing data references for the business operations of grain and agricultural enterprises, and providing a basis for the relevant organizations to make decisions on grain and agricultural work, realizing "Wisdom in Grain, Power in Farming".

  GauTure adheres to the route of independent research and development, and has gradually made breakthroughs of different degrees in both academics and technology, and its academic achievements represented by industry papers and technical achievements represented by GauTure's AI fast tester have gained general recognition in the market. In China's grain and oil industry, head processing enterprises such as Jinshahe Group, COFCO Group, Jinmailang Group, Yihai Kerry Group and so on have successively cooperated with GauTure in projects and purchased GauTure's grain testing equipment in bulk. In addition, GauTure's grain testing equipment is also applied in a large number of grain testing and storage units such as quality inspection centers at all levels and state-owned grain warehouses.

  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 testing. It will continue to create an academic atmosphere in the industry, expand grain databases, improve scientific research capabilities, and promote automation and intelligence in the food and agriculture industry.