High Speed Separation of Potato and Clod Using an Acoustic Based Intelligent System
Message:
Abstract:
Separating clods from potato tubers is one of the most challenging jobs in a potato harvester. In this study، an acoustic-based intelligent system was developed for high speed discriminating between potato tubers and clods. About 500kg mixture of potato tubers and clods were put on the belt conveyer and impacted on a steel plate in four different velocities. The resulting acoustic signals were recorded، processed and potential features were extracted from the analysis of sound signals in both time and frequency domains. A multilayer perceptron (MLP) neural network with a back propagation algorithm was used for pattern recognition. Altogether، 17 potential discriminating features were selected and fed as input vector to artificial neural network (ANN) models. Optimal network was selected based on mean square error، correct detection rate and correlation coefficient. At the velocity of 1 ms-1 of the belt، detection accuracy of the presented system was about 97. 3% and 97. 6% for potato and clod، respectively. Detection accuracy decreased by increasing belt velocity. A potato harvester by using this system can perform at capacity of 20 ton hr-1 by accuracy of about 97%.
Language:
Persian
Published:
Journal of Agricultural Knowledge, Volume:19 Issue: 2, 2011
Page:
239
magiran.com/p821118  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 990,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
دسترسی سراسری کاربران دانشگاه پیام نور!
اعضای هیئت علمی و دانشجویان دانشگاه پیام نور در سراسر کشور، در صورت ثبت نام با ایمیل دانشگاهی، تا پایان فروردین ماه 1403 به مقالات سایت دسترسی خواهند داشت!
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 50 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!