Project's information
| Project's title | Application of Artificial Intelligence Technology in the Evaluation of Agricultural Product Quality |
| Project’s code | CN4000.02/22-25 |
| Research hosting institution | High technology innovation Center |
| Project leader’s name | Dr. Bui Quang Minh |
| Project duration | 01/01/2022 - 31/12/2025 |
| Project’s budget | 6,000,000,000 VND Savings in 2024: 100,000,000 VND |
| Classify | Grade B |
| Goal and objectives of the project | Developed a deep learning model and a software system to assess the quality of mango and dragon fruit. |
| Main results | Technological results: Development of the FruitAI / FruitMonitor system for monitoring and assessing the quality of mangoes and dragon fruit. Construction of a comprehensive database of images and nutritional components for both mango and dragon fruit. Development of AI analytical models achieving a minimum accuracy of 94%. Deployment of a stable web platform and mobile application for real-time quality assessment. Theoretical results: Application of multivariate statistical analysis to determine and differentiate the geographical origin of mangoes and dragon fruit. Establishment of a dataset of elemental composition for research and classification. Development of specialized AI algorithms for the two target fruits: mango and dragon fruit. |
| Novelty and actuality and scientific meaningfulness of the results | Development of the first end-to-end AI-based system in Vietnam for real-time quality assessment of agricultural products. Creation of a large, standardized dataset for mangoes and dragon fruit, integrating image data with nutritional and elemental information. Development of high-accuracy AI models (minimum 94%) tailored for fruit quality classification. Establishment of an integrated evaluation model combining visual features, nutritional composition, and elemental content. Pioneering application of real-time streaming AI in fruit storage environments—a technology not previously deployed in Vietnam. Formation of a data and technology platform supporting advanced academic research (XAI, Transfer Learning, Big Data). |
| Products of the project | - Scientific papers in referred journals (list) + Minh, Bui Quang, Duc, Tran Ha Minh, Nhan, Le Van, Anh, Le Viet, Khanh, Nguyen Hoang, Tung, Nguyen Ngoc, Tao, Hoang Minh, Dat, Nguyen Tien, Trung, Nguyen Quang, Ngoc, Nguyen Bich, Khanh, Nguyen Van, Minh, Truong Ngoc, Geographic Origin Tracing and Variety Authentication of Vietnamese Mangoes (Mangifera indica L.) Using ICP–MS and Statistical Analysis, Journal of Analytical Methods in Chemistry, 2025, 5544200, 13 pages, 2025. + Bui Quang Minh, Tran Ha Minh Duc, Truong Ngoc Minh, Le Viet Anh, Bui Thi Quynh, Nguyen Hong Kien, Tran Van Thanh, Vu Quang Hieu and Le Van Nhan (2025) ‘Geographical Classification of Vietnamese Dragon Fruit (Hylocereus spp.) Using ICP-MS and PCA’, The Journal of Animal & Plant Sciences, 35(4), p. 946. + Van Thinh Pham, Ngoc Duc Vu, Thuong Nhan Phu Nguyen, Ngoc Minh Truong, Quang Minh Bui, Thanh Tuyen Thi Bui, and Ngoc Quyen Thi Pham (2024). Study of Using Ultrasonic Waves in the Producing Dried Dragon Fruit Peel Processes. International Journal of Food Science, 2024, 8619783, 10 pages + Research Distinguishing The Geographical Origin Of Hoa Loc Mango Variety In Vietnam Journal of Chemical, Physical, and Biological Analysis (accepted for publication) + Research on distinguishing the geographical origin of Hoa Loc mango variety in Vietnam Journal of Chemical, Physical, and Biological Analysis (accepted for publication).  |
| Images of project |  |
