کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5471781 1519499 2017 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Integration of simultaneous tactile sensing and visible and near-infrared reflectance spectroscopy in a robot gripper for mango quality assessment
ترجمه فارسی عنوان
یکپارچگی سنجش لمسی هم زمان و طیف سنجی بازتابی و بازتابی نزدیک به مادون قرمز در یک گیره ربات برای ارزیابی کیفیت انبه
کلمات کلیدی
طیف سنجی، شیمیدرمانی حسگر غیر مخرب، سنسور تاکتیکی، شتاب سنج،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Development of non-destructive tools for determining mango ripeness would improve the quality of industrial production of the postharvest processes. This study addresses the creation of a new sensor that combines the capability of obtaining mechanical and optical properties of the fruit simultaneously. It has been integrated into a robot gripper that can handle the fruit obtaining non-destructive measurements of firmness, incorporating two spectrometer probes to simultaneously obtain reflectance properties in the visible and near-infrared, and two accelerometers attached to the rear side of two fingers. Partial least square regression was applied to different combinations of the spectral data obtained from the different sensors to determine the combination that provides the best results. Best prediction of ripening index was achieved using both spectral measurements and two finger accelerometer signals, with RP2=0.832 and RMSEP of 0.520. These results demonstrate that simultaneous measurement and analysis of the data fusion set improve the robot gripper features, allowing assessment of the quality of the mangoes during pick and place operations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 162, October 2017, Pages 112-123
نویسندگان
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