id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2684	Kamatchi Sundravadivelu	AI in Agriculture: Precision Farming and Crop Monitoring	2024	10	.pdf	application/pdf	4514	299	49	The CNN was able to outperform other techniques because of its potential to analyze more complex patterns in imagery than Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 3s (2025) 477 https://internationalpubls.com others, which might be useful for applications concerning crop disease and pests. The models were trained to predict crop health and optimize agricultural practices, using a dataset of crop images and environmental data.	cache/cana-2684.pdf	txt/cana-2684.txt