کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
383400 660820 2012 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic detection of crop rows in maize fields with high weeds pressure
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Automatic detection of crop rows in maize fields with high weeds pressure
چکیده انگلیسی

This paper proposes a new method, oriented to crop row detection in images from maize fields with high weed pressure. The vision system is designed to be installed onboard a mobile agricultural vehicle, i.e. submitted to gyros, vibrations and undesired movements. The images are captured under image perspective, being affected by the above undesired effects. The image processing consists of three main processes: image segmentation, double thresholding, based on the Otsu’s method, and crop row detection. Image segmentation is based on the application of a vegetation index, the double thresholding achieves the separation between weeds and crops and the crop row detection applies least squares linear regression for line adjustment. Crop and weed separation becomes effective and the crop row detection can be favorably compared against the classical approach based on the Hough transform. Both gain effectiveness and accuracy thanks to the double thresholding that makes the main finding of the paper.


► We design an automatic method for crop row detection in maize fields.
► We apply a double automatic thresholding to discriminate weeds and crops.
► A straight line fitting based on least squares is used for computing equations.
► This approach is tested favorably against the Hough based line detection approach.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 39, Issue 15, 1 November 2012, Pages 11889–11897
نویسندگان
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