Application of the Internet of Things in agriculture to diagnose plant diseases | ||
| علوم و فناوری اطلاعات و هوشمندسازی کشاورزی | ||
| Article 6, Volume 8, Issue 2 - Serial Number 16, September 2025, Pages 59-71 PDF (458.71 K) | ||
| Document Type: Original Article | ||
| DOI: 10.22092/jaist.2025.368769.1137 | ||
| Authors | ||
| Adel Taherihajivand* 1; kimia shirini2; sina samadi ghareveran3 | ||
| 1Department of Biosystem Engineering - Faculty of Agriculture - University of Tabriz - Tabriz - Iran | ||
| 2PhD in Computer Engineering, University of Tabriz | ||
| 3phd of power | ||
| Abstract | ||
| 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. | ||
| Keywords | ||
| Keywords: Bayesian algorithm; image processing; disease diagnosis; decision tree; Internet of Things | ||
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