Detection and Diagnosis of Plant Pests Pistachio Tree in the Section "Frui ts and shoot", using by Color P roperties and Texture

سال انتشار: 1399
محل انتشار: فصلنامه بین المللی مهندسی مکاترونیک ، برق و کامپیوتر، دوره: 11، شماره: 39
کد COI اختصاصی: JR_IJMEC-11-39_007
زبان مقاله: فارسی
تعداد مشاهده: 146

نویسندگان

Faculty of Electrical and Computer Engineering Semnan University Semnan, Iran

چکیده

The use of image processing techniques are is growing. Many research and studies in the field of medicine, robotics, meteorology and military have been done and it gets a lot of use. But research on the use of image processing methods in the diagnosis of plant pests, less discussed and investigated. It is in this paper attempts to identify more plant pests of pistachio trees using image processing techniques to do your research. By doing this pest diagnosis and plant diseases in parts of the pistachio tree fruits and shoot by machine is an intelligent manner. It can be said with more general view of the tree pest diagnosis expert system with a database of a database of healthy and infested plant photos in the fruit and shoot by CCTV cameras, farmers, or even unfamiliar people in assessing image been collected, After sending the Machine backup, by methods of Image color detection, Type of pest is detected and compared by Machine. This requires constant monitoring are experts in traditional mode, which is expensive in large farms, in some developing countries, agricultural engineers may be limited mileage and connect with experts pest detection. Important goal of this method early diagnosis pest of pistachio trees and reducing the rate of error in diagnosis and given to farmers and as a result of quality harvest for exported.

کلیدواژه ها

Diagnosis of plant pests, Image processing techniques, Color Image, learning machines, complexity of the model

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.