DocumentCode :
116252
Title :
Study of variable spray control system based on machine vision
Author :
Rui Zhang ; Lepeng Song
Author_Institution :
Coll. of Electr. & Inf. Eng., Chongqing Univ. of Sci. & Technol., Chongqing, China
fYear :
2014
fDate :
18-20 Aug. 2014
Firstpage :
455
Lastpage :
458
Abstract :
This system captures and analyses the growth of crops based on machine vision technology, controlled by the PLC variables and achieve the objective of saving fertilizer, improving economic efficiency and protecting the environment. It uses shape or texture of the crops and background information contained in the image to classify, builds database algorithms, processes the collecting real-time signal by the internal computer and provides a spray flow rate required by the target area of operation, thus achieves variable spray to the target automatically. As a result, the real-time database of the precision agriculture variable spray is created; the system then receives the target spray flow signals on the intelligent platform and variable sprays with an intelligent spray operation platform speed.
Keywords :
computer vision; crops; environmental factors; fertilisers; image classification; image texture; precision engineering; programmable controllers; shape recognition; sprays; PLC variables; crop growth analysis; crop shape; crop texture; economic efficiency; environment protection; fertilizer saving; image classification; intelligent spray operation platform speed; machine vision; machine vision technology; precision agriculture variable spray; real-time database; real-time signal; spray flow rate; variable spray control system; Agriculture; Computers; Control systems; Image segmentation; Machine vision; Real-time systems; Valves; machine vision; precision agriculture; variable spray;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics & Cognitive Computing (ICCI*CC), 2014 IEEE 13th International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4799-6080-4
Type :
conf
DOI :
10.1109/ICCI-CC.2014.6921498
Filename :
6921498
Link To Document :
بازگشت