با سلام خدمت کاربران در صورتی که با خطای سیستم پرداخت بانکی مواجه شدید از طریق کارت به کارت (6037997535328901 بانک ملی ناصر خنجری ) مقاله خود را دریافت کنید (تا مشکل رفع گردد).
دسته بندی:
بینایی ماشین - Machine vision
سال انتشار:
2017
عنوان انگلیسی مقاله:
Controlled comparison of machine vision algorithms for Rumex and Urtica detection in grassland
ترجمه فارسی عنوان مقاله:
مقیاس کنترل الگوریتم های بینایی ماشین برای تشخیص Rumex و Urtica در چمنزار
منبع:
Sciencedirect - Elsevier - Computers and Electronics in Agriculture, 140 (2017) 123-138. doi:10.1016/j.compag.2017.05.018
نویسنده:
A. Binch, C.W. Fox
چکیده انگلیسی:
Automated robotic weeding of grassland will improve the productivity of dairy and sheep farms while helping to conserve their environments. Previous studies have reported results of machine vision meth- ods to separate grass from grassland weeds but each use their own datasets and report only performance of their own algorithm, making it impossible to compare them. A definitive, large-scale independent study is presented of all major known grassland weed detection methods evaluated on a new standard- ised data set under a wider range of environment conditions. This allows for a fair, unbiased, independent and statistically significant comparison of these and future methods for the first time. We test features including linear binary patterns, BRISK, Fourier and Watershed; and classifiers including support vector machines, linear discriminants, nearest neighbour, and meta-classifier combinations. The most accurate method is found to use linear binary patterns together with a support vector machine.1© 2017 Elsevier B.V. All rights reserved.
قیمت: رایگان
توضیحات اضافی:
تعداد نظرات : 0