Publication: Mengecam dan membezakan tahap kematangan buah pisang menggunakan antena hon, pemuat dan rangkaian neural
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Date
2005-03-01
Authors
Mohd Jadi, Noorasimah
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Abstract
Antenna, capacitor and neural network can be used to classify and differentiate the maturity level of fruits. In accomplishing this project, there are two pyramidal horn antennas, one acts as a transmitter and the other acts as a receiver. The transmitter is connected to a signal generator while the receiver is connected to a spectrum analyzer as it will measure the microwave propagation towards the material that was tested which is a banana. At the same time the value of the capacitance of the banana is measured by using two parallel plates where the banana acts as dielectric. Then these two plates were connected to a RCL meter which is used to measure the banana capacitance of each maturity level. Lastly both data that were collected are used to train the neural network in classifying and differentiate the maturity level of the banana. Multilayer Perceptron is chosen as the type of neural network that was used in this project. MATLAB is another
tool that will be used to train the neural network until the network to differentiate the fruit maturity level.