نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه مهندسی بیوسیستم - دانشکده کشاورزی - دانشگاه تبریز - تبریز - ایران
2 دکتری مهندسی کامپیوتر دانشگاه تبریز
3 دکتری برق دانشگاه تبریز
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
One of the important applications in the field of IoT is the use of this technology in agriculture and improving the productivity of agricultural products. In this paper, the importance and position of IoT in agriculture are introduced and then a case study for disease detection in rice leaves using machine learning algorithms and image processing was examined. The data under study were prepared from the UCI database, which included 120 images for three diseases of rice leaf blight, brown spot disease, and black leaf spot. First, the images were processed and the background was separated from the images. Feature matrices were extracted from each image and second-order statistical features were extracted from them. These features were used to train the decision tree and the Bayesian algorithm. The results showed that the overall classification accuracy for disease detection using the random forest and Bayesian algorithm was 91.7% and 90.5%, respectively.
کلیدواژهها [English]
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