Поиск по каталогу |
(строгое соответствие)
|
- Профессиональная
- Научно-популярная
- Художественная
- Публицистика
- Детская
- Искусство
- Хобби, семья, дом
- Спорт
- Путеводители
- Блокноты, тетради, открытки
Automated Tomato Grading System Using Image Processing and Fuzzy Logic. Smart Farm System
В наличии
Местонахождение: Алматы | Состояние экземпляра: новый |
Бумажная
версия
версия
Автор: Lenard Dorado,Jonel Jozef Catapang and Rionel Caldo
ISBN: 9786202022996
Год издания: 2018
Формат книги: 60×90/16 (145×215 мм)
Количество страниц: 156
Издательство: LAP LAMBERT Academic Publishing
Цена: 42107 тг
Положить в корзину
Позиции в рубрикаторе
Отрасли знаний:Код товара: 207945
Способы доставки в город Алматы * комплектация (срок до отгрузки) не более 2 рабочих дней |
Самовывоз из города Алматы (пункты самовывоза партнёра CDEK) |
Курьерская доставка CDEK из города Москва |
Доставка Почтой России из города Москва |
Аннотация: Being in the twentieth century, it is undeniable that technology is playing a vital role in the lives of everyone. As time passes by, technology continues to grow and flourish as more and more studies are being done. That said, the proponents took hold of that concept and applied it in the field of agriculture, thus producing Smart Farming System. Smart Farm is basically the application of technology to the farming activities done manually. This paper presents an automated tomato grading system using image processing and fuzzy logic, both of which are to be implemented in Matlab. An Arduino UNO microcontroller is to be used for the hardware part as a control mechanism. Image processing is done by the use of L*a*b colorspacing and K-means clustering. With which the fuzzy logic input will be the number of GOOD pixels in a binarized image. Tomato grading shall be classified in three (3): GOOD, FAIR, and BAD and these outputs are assessed accordingly by the use of fuzzy inference rules. A conveyor system shall also be implemented which will be run by a DC motor which is controlled by the Arduino UNO.
Ключевые слова: Fuzzy logic, image processing, Tomato Grading System