Dielectric spectroscopy as a potential technique for prediction of kiwifruit quality indices during storage
作者机构：Biosystems Engineering DepartmentShiraz UniversityShirazIran School of Computer ScienceUniversiti Sains Malaysia 11800 USMPulau PinangMalaysia Department of Analytical ChemistryUniversity of Valencia46100 BurjassotSpain
出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)
年 卷 期：2019年第6卷第4期
页 面：479-486页
核心收录：
学科分类：0907[农学-林学] 0908[农学-水产] 09[农学] 090201[农学-果树学] 0710[理学-生物学] 0830[工学-环境科学与工程（可授工学、理学、农学学位）] 0905[农学-畜牧学] 0707[理学-海洋科学] 0906[农学-兽医学] 0829[工学-林业工程] 0901[农学-作物学] 0902[农学-园艺学] 0812[工学-计算机科学与技术（可授工学、理学学位）]
主 题：Kiwifruit Dielectric spectroscopy Firmness Total soluble solids pH
摘 要：Dielectric spectroscopy has been employed as a simple,low cost and a non-destructive way for prediction of some physicochemical indices of kiwifruit during storage.A parallel-plate capacitor was developed and supplied with sinusoidal voltage waves within a frequency range of 40 kHz–20 *** properties of samples were measured by the dielectric ***,changes associated with fruit ripening properties,including firmness,total soluble solid(TSS)and pH were determined as a function of time at 2*** results showed that storage time significantly affected the quality characteristics of *** neural networks(ANNs)were employed to develop models for prediction of quality indices from dielectric properties at the swept *** property features were selected as inputs while the quality indices including firmness,TSS and pH were chosen as output for the *** obtained models were able to predict the firmness,soluble solids content,and pH of kiwifruit *** predictive models,an ANN with a topology of 20-19-1 gave a perfect capability to predict the kiwifruit firmness with R2 value of *** of this research show that this technique can be used as an efficient and non-destructive method for kiwifruit quality evaluation and monitoring the ripening.
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