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Prototype system of automatic identification cotton insect pests and intelligent decision based on machine vision

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Paper number  031007,  2003 ASAE Annual Meeting . (doi: 10.13031/2013.13703) @2003
Authors:   Li Zhigang, Fu Zetian, Shi Yan, Xia Tiehua
Keywords:   machine vision; digital image processing; cotton pest; automatic identification; intelligent decision; fuzzy logic; precision agriculture

The technique of machine vision is extensively applied to agricultural science, and it shows great perspective especially in plant protection field.

The paper describes a software prototype system for machine-vision intelligent decision precision sprayer. The final objective of this study is to set up a set of software system including two sub-systems. One is used to identify the image of cotton insect pests in field in real-time automatically, while the other to provide spray intelligent decision.

The real-time digital images of cotton and insects captured by CCD were processed by computer, including image growing, image segmentation and features obtaining (i.e. color, shape and texture etc.). The methods evolved in this system are both image processing and mathematical morphology. Subsequently, computer expert system will implement intelligent decision via artificial neural network and fuzzy logic method. The object of this system is cotton insect pests (Helicoverpa armigera (Hubner) and red spider) in North China. Image database including cotton in different period and different state is set up in this system, which is embedded in computer. The expert system determines the time, area and volume of spray pesticide. According to the result of image automatic identification and scientific decision, the system will achieve precision spray.

The prototype system of automatic identification of cotton insect pests and intelligent decision (AICIPID) is under way. The results will be beneficial for reducing the volume of spray pesticide, enhancing benefits and protecting environment from pollution.

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