Scientia Agricultura Sinica ›› 2025, Vol. 58 ›› Issue (9): 1830-1844.doi: 10.3864/j.issn.0578-1752.2025.09.012

• FOOD SCIENCE AND ENGINEERING • Previous Articles     Next Articles

Some Reflections on Modern Science of Agricultural Product Quality

JI ShengYang1(), LU BaiYi1(), LI PeiWu2,3()   

  1. 1 College of Biosystems Engineering and Food Science, Zhejiang University/Laboratory of Quality & Safety Risk Assessment for Agro-Products on Storage and Preservation, Ministry of Agriculture and Rural Affairs/Key Laboratory for Agricultural Product Quality Evaluation and Nutritional Health, Ministry of Agriculture and Rural Affairs, Hangzhou 310058
    2 Oil Crops Research Institute, Chinese Academy of Agricultural Sciences/Quality Test Center for Oilseeds Products, Ministry of Agriculture and Rural Affairs/Laboratory of Risk Assessment for Oilseeds Products, Ministry of Agriculture and Rural Affairs/Key Laboratory of Biology and Genetic Improvement of Oil Crops, Ministry of Agriculture and Rural Affairs, Wuhan 430062
    3 Xianghu Laboratory, Hangzhou 311231
  • Received:2024-09-09 Accepted:2024-12-14 Online:2025-05-01 Published:2025-05-08
  • Contact: LU BaiYi, LI PeiWu

Abstract:

Meeting the evolving demands of the public for the nutrition and quality of agricultural products is the eternal driving force and direction for high-quality agricultural development. Science of agricultural product quality has emerged in response to this need, which plays a crucial role in guiding the development of the agricultural industry and supporting rural revitalization. Based on a review of domestic and international research on agricultural product quality, this paper outlined the development history of science of agricultural product quality and introduced the concept of modern science of agricultural product quality. This concept focused on agricultural products such as grains, vegetables, aquatic products, dairy, fruits, meat, poultry, tuber and root, and medicinal food plants. By employing modern detection methods and analytical techniques, the core of this discipline was the nutritional quality and intelligent characterization of agricultural products. It aimed to establish a quality evaluation system for agricultural products based on different uses, elucidate the material basis and influencing factors of product quality, uncover the mechanisms of quality composition (structure-function) and quality formation (deterioration), and establish comprehensive control measures, thus producing high-quality agricultural products to meet consumer demand, guide processing, and improve agricultural industrial efficiency. From the perspective of industrial high-quality development and public health, the paper also analyzed the necessity of modern science of agricultural product quality research. Additionally, it identified key challenges in current agricultural product quality research, including: (1) Unclear spatiotemporal variation patterns and undefined characteristic quality, lack of evaluation technologies, and low precision and portability of detection technologies; (2) The complexity of agricultural product components, unclear relationships between spatial structure and quality characteristics, excessive processing, resource waste, and difficulty in premium prices for high quality; (3) Unclear quality influence patterns, unidentified molecular targets for formation and deterioration, and difficulty in controlling and maintaining quality. Based on these challenges, the paper proposed three major research areas in modern science of agricultural product quality, including agricultural products characteristic quality exploration and evaluation detection technologies, mechanisms of quality composition (structure-function) and high-value utilization technologies, and mechanisms of quality formation (deterioration) and control technologies. Finally, the paper outlined key future research tasks, including: (1) Constructing a database of agricultural product quality based on IoT, big data, and artifical intelligence technologies to achieve precise individual nutritional needs; (2) Building sensor networks and data collection systems driven by AI-powered supply chain technologies to achieve intelligent characterization of agricultural product quality throughout the entire industry chain; (3) Developing a green circular model system based on quality gradients and comprehensive utilization technologies to realize high-value resource transformation in the entire agricultural production process; (4) Creating an agricultural product AI intelligent system based on multi-source knowledge integration technologies for full-process quality control of agricultural products. This review aimed to provide the guidance and support for agricultural research, production, and management practices, addressing current bottlenecks in improving agricultural product quality, and contributing to the high-quality development of the agricultural industry.

Key words: modern science of agricultural product quality, nutritional quality, quality evaluation, processing quality, high-value utilization, quality regulation

Fig. 1

Development history of science of agricultural product quality"

Fig. 2

Conceptual map of modern science of agricultural product quality"

Fig. 3

Overview of agricultural product quality characteristics mining, evaluation, and testing technology"

Fig. 4

Overview of the mechanism of agricultural product quality composition (structure-activity relationship) and high-value utilization technology"

Fig. 5

Overview of the mechanism of agricultural product quality formation (deterioration) and regulation technology"

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