کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
384196 660842 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Automatic expert system for weeds/crops identification in images from maize fields
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Automatic expert system for weeds/crops identification in images from maize fields
چکیده انگلیسی

Automation for the identification of plants, based on imaging sensors, in agricultural crops represents an important challenge. In maize fields, site-specific treatments, with chemical products or mechanical manipulations, can be applied for weeds elimination. This requires the identification of weeds and crop plants. Sometimes these plants appear impregnated by materials coming from the soil (particularly clays). This appears when the field is irrigated or after rain, particularly when the water falls with some force. This makes traditional approaches based on images greenness identification fail under such situations. Indeed, most pixels belonging to plants, but impregnated, are misidentified as soil pixels because they have lost their natural greenness. This loss of greenness also occurs after treatment when weeds have begun the process of death. To correctly identify all plants, independently of the loss of greenness, we design an automatic expert system based on image segmentation procedures. The performance of this method is verified favorably.


► We design an automatic Expert System for plant discrimination in maize fields.
► We apply a double thresholding method to separate two kind of green plants.
► Masked plants due to undesired effects (rainfall, irrigation or drying up) are identified.
► Plants segmentation is required for weeds specific treatments.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 40, Issue 1, January 2013, Pages 75–82
نویسندگان
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