E-nose Prototype to Monitoring the Growth and Maturation of Peaches in the Orchard

被引:24
作者
Voss, Henike Guilherme Jordan [1 ]
Ayub, Ricardo Antonio [1 ]
Stevan, Sergio Luiz [1 ,2 ]
机构
[1] State Univ Ponta Grossa UEPG, Grad Program Appl Comp PPGCA, BR-84030900 Ponta Grossa, PR, Brazil
[2] Fed Univ Technol Parana UTFPR, BR-84017220 Ponta Grossa, PR, Brazil
关键词
Monitoring; Electronic noses; Ethanol; Gas detectors; Prototypes; Gases; Electronic nose (E-nose); peach; device; maturation; flavor; volatile organic compounds (VOCs); QUALITY GRADE IDENTIFICATION; ELECTRONIC-NOSE; FRUIT; REGRESSION; CULTIVARS; RIPENESS; MACHINE;
D O I
10.1109/JSEN.2020.3000070
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Indication of peach maturity and inspection of fruit quality in an orchard are generally analyzed based on the farmer's experience, which may be subject to failure and result in financial losses due to negligence or late harvest. Volatile organic compounds (VOCs) vary in quantity and type, depending on the different phases of fruit growth. Thus, the electronic noses are an alternative, since they allow the online monitoring of the VOCs generated by the culture. The correlate works found in the literature focus on the detection of post-harvest peach maturation, not the monitoring of fruits in the orchard, to detect the stage of growth and maturation, and that, when measuring these properties, methods are generally used destructive instruments. Analyzing this context, we developed a prototype for the identification of the maturation of the Eragil peach in the pre-harvest growth cycle. The prototype was built containing thirteen metal oxide semiconductor gas sensors. The pre-processing method for feature selection was applied, Pearson's Chi-square test, which provided the reduction for six sensors. Based on the Random Forest method with a Linear Discriminant Analysis, we reduced the dataset for six sensors and obtained a 1.92% error rate in the sample test step. It shows that the device could be optimized to this application and confirm that it is promising for local monitoring of fruit ground-based on the emission of VOCs and that several devices of this in-network can provide information for an optimized harvest.
引用
收藏
页码:11741 / 11750
页数:10
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