稻谷储存品质指标模型研究进展  

Research Progress on Quality Index Modelof Rice Storage

作　　者：陈梓豪 黄颖 郭玲 李梦荣 李旺[1] 任佳丽[1] 林亲录[1] Chen Zihao;Huang Ying;Guo Ling;Li Mengrong;Li Wang;Ren Jiali;Lin Qinlu(National Engineering Research Center for Deep Process of Rice and Byproducts,Central South University of Forestry and Technology,Changsha 410004)

机构地区：[1]中南林业科技大学稻谷及副产物深加工国家工程研究中心,长沙410004

出　　处：《中国粮油学报》2023年第2期171-178,共8页Journal of the Chinese Cereals and Oils Association

基　　金：国家重点研发计划项目(2019YFC1605305)。

摘　　要：储粮损失问题在我国十分严重,储粮品质指标数学模型能及时反映粮食相应品质在储存过程中的变化情况,协助管理人员掌握储粮状态的变化并及时采取相关防治措施延缓粮食劣变,进而有效降低储粮损失。本文整合了稻谷储存品质判定指标(脂肪酸值、色泽、气味、食用品质以及真菌、害虫)模型的构建方法,讨论了不同模型的指标研究方法、模拟算法,关注了模型优化方法;对当前模型研究中的不足提出了展望,为今后稻谷品质指标模型研究与应用提供参考。The problem of stored grain loss is very serious in China. The mathematical model of the stored grain quality index can timely reflect the change of the corresponding quality of the grain during the storage process, assist the management personnel to grasp the change of the state of the stored grain and take relevant preventive measures in time to delay the deterioration of the grain, and thus, effectively reducing the loss of grain storage. This review integrated the construction methods of the rice storage quality judgment indicators model, such as fatty acid value, color, odor, edible quality, fungi and pests, discussed the index research methods and simulation algorithms of different models, and focused on the model optimization method.Outlooks for the deficiencies in the current model research were proposed to provide references for the rice quality indicator model research and application in the future.

关 键 词：稻谷储存 品质指标 数学模型 模型优化 

分 类 号：S375[农业科学—农产品加工]