کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1710950 1519531 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
An evaluation of a vision-based sensor performance in Huanglongbing disease identification
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
پیش نمایش صفحه اول مقاله
An evaluation of a vision-based sensor performance in Huanglongbing disease identification
چکیده انگلیسی


• Accumulated starch can rotate the polarisation plane of light near 600 nm.
• The customised vision sensor optimised the HLB infection identification.
• Starch accumulation was more evident in ground citrus leaf.
• The vision sensor could separate HLB infection from nutrient deficiency.

Huanglongbing (HLB) disease is a critical infection which has dangerously affected the citrus production in Florida and has also been observed in California and Texas. No active treatment for this infection has been reported yet and the HLB infected tree will eventually die. However, early identification and removal of the HLB affected trees will secure the healthy trees in the grove. Accumulation of starch on infected leaves is an early symptom of HLB. Starch can rotate the polarisation plane of light in a certain waveband. A customised vision sensor was developed based on this characteristic to identify the HLB symptom. The vision sensor images were compared with the images captured by a colour camera to demonstrate the improvement achieved in this method. Also, the starch accumulation identification was studied for citrus leaves before and after being ground. The results showed an enhanced HLB identification performance using the developed vision sensor.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 130, February 2015, Pages 13–22
نویسندگان
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