id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ajst-19200	Liu, Xue; Zhou, Shunyong; Peng, Ziyang; Zhang, Hangling; Hu, Qin	Detection of Rice Leaf Diseases Based on Improved YOLOv8n	2024	6	.pdf	application/pdf	4231	191	52	In order to improve the accuracy of rice disease detection, a detection model based on YOLOv8n was proposed in this study. P-R curve As can be seen from Figure 9, SCX-YOLOv8n shows a significant improvement in the detection of each category compared with YOLOv8n, and the area enclosed by the curve is larger, which means that SCX-YOLOv8n model is more accurate and accurate in the task of rice disease detection, and can better identify disease types and better locate rice diseases, thus improving the yield and reducing losses.	cache/ajst-19200.pdf	txt/ajst-19200.txt