id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
easat-4802	Mihuandayani, Mihuandayani; Prasetya, Syadina Arya ; Mamuaya, Supit ; Tomatala, Michel Farrel ; Tuntun, Ritham 	Classification of pineapple ripeness using YOLOv8 and convolutional neural networks under varied environmental conditions	2025	16	.pdf	application/pdf	6889	333	41	[18] B. Xiao, M. Nguyen, and W. Yan, Fruit ripeness identification Using YOLOv8 model, Multimedia Tools and Applications, vol. 83, pp. For instance, research Wang [9] leveraged YOLOv8 to automate fruit ripeness detection, testing the model on a dataset labelled by ripeness stage.	cache/easat-4802.pdf	txt/easat-4802.txt
