Instruments for Life
© Made by Agrosta 2018 lak@agrosta.org
Latest News

Currently working on effect of low frequency vibrations on firmness measurement of

small soft fruits :

Our R&D is currently working on the effect of low frequency sound for texture analyzis. This first study gives very good results We have searched the best sound frequency to characterize Cherry tomatoes We have used a piezo system placed under the sample, and a high sensitivity microphone placed on the other side of the sample, and pressing according to a calibrated force (Using a calibrated weight) Some specific parts have been designed in order to protect the microphone from extrenal sounds, and a stand has been made to maintain the piezoelectric disc. Those parts have been 3D printed on a Zortrax M200 Plus We have first made a firmware that scanned all audible frequencies, providing a sound level value for each of them (With cherry tomato placed on the piezoelectric disc) Then we have selected the frequency which was the more related to tomato firmness, using a batch of cherry tomatoes separated in 3 groups : Hardest, Intermediate and Softest We think we can design an instrument using those results - This instrument shall be suitable for small berries like blueberries, we have to test it on raspberry, blackcurrant, gooseberry and blackberry - It will be a non-destructive firmness tester The 16th of September, 2019, we have tested a batch of blueberries with very good success So we are going to improve our testing prototype, and we will soon propose a very accurate non-destructive tester for blueberries The 18th of September, 2019 : We have mounted the stand that will apply a constant pressure on fruit (According to the weight of the mobile tray) Using this stand in order to keep a constant distance between piezo disc and microphone, we have tested the repeatibility of our system for frequencies starting at 50 Hz till 2450 Hz, pitch of 100 Hz The results we have obtained are in the chart hereafter We obtain an average repeatibility of 99.5 %

News of Agrosta R&D Dept

© Made by Agrosta 2018 lak@agrosta.org
Latest News

News of Agrosta R&D Dept

Currently working on effect of low frequency

vibrations on firmness measurement of small

soft fruits :

Our R&D is currently working on the effect of low frequency sound for texture analyzis. This first study gives very good results We have searched the best sound frequency to characterize Cherry tomatoes We have used a piezo system placed under the sample, and a high sensitivity microphone placed on the other side of the sample, and pressing according to a calibrated force (Using a calibrated weight) Some specific parts have been designed in order to protect the microphone from extrenal sounds, and a stand has been made to maintain the piezoelectric disc. Those parts have been 3D printed on a #Zortrax M200 Plus We have first made a firmware that scanned all #audible frequencies, providing a sound level value for each of them (With cherry tomato placed on the piezoelectric disc) Then we have selected the frequency which was the more related to tomato firmness, using a batch of cherry tomatoes separated in 3 groups : Hardest, Intermediate and Softest We think we can design an instrument using those results - This instrument shall be suitable for small berries like #blueberries, we have to test it on raspberry, blackcurrant, gooseberry and blackberry - It will be a non-destructive firmness tester The 16th of September, 2019, we have tested a batch of blueberries with very good success So we are going to improve our testing prototype, and we will soon propose a very accurate non-destructive tester for blueberries The 18th of September, 2019 : We have mounted the stand that will apply a constant pressure on fruit (According to the weight of the mobile tray) Using this stand in order to keep a constant distance between piezo disc and microphone, we have tested the repeatibility of our system for frequencies starting at 50 Hz till 2450 Hz, pitch of 100 Hz The results we have obtained are in the chart hereafter We obtain an average repeatibility of 99.5 %