Improvement of an apple sorting machine using PSNR criterion

This paper deals with development of an apple sorting machine. The fabricated machine employed apple weights as a classification factor to sort the fruits in 6 categories. A load cell with rated capacity equal to 2 kg and 1 mv/v sensitivity is employed in measuring system. The pre-filtered load cell output signal is amplified before being applied to the control unit in order to be easily detected by microcontroller. Peak signal to noise ratio (PSNR) criterion is employed to analyze the machine performance which aids its improvement. The PSNR results as well as experimental results specify that vibration could significantly affect machine performance. To overcome this issue, the fabricated machine divided into two parts of measuring and transferring units with separate chassis.