Abstract
In this paper, we show the results on the ethylene gas detection. The ethylene gas is generated as one of the by-products of the breathing in many plants. It may become harmful to the freshness when we keep on having collected around a ripe product excessively. Ethylene gas accelerates a process to mature and caused self-acceleration of the deterioration. The main promotion of ethylene is extremely a small amount, but gas chromatography and mass spectrometry are used as the measurement devices which can separate gases. The components are expensive and need much experience for operation. We use a neural network based on the features that can be obtained from measurement data assuming the real environment such as steam, alcohol, and ethylene. Using a small odor measurement system that created using the mass sensor of the inexpensive crystal oscillator can be detected selectively to the ethylene gas. We consider the technique to implemente and configure the system to show the processing result.
