id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2687	Anil Kumar Ghadiyaram	Artificial Intelligence and Machine Learning based Farmer’s Friendly Soil Fertilizer Recommendation System Through Expert Analysis	2024	18	.pdf	application/pdf	7439	480	48	No. 3s (2025) 494 https://internationalpubls.com Figure: Nitrogen and Phosphorus for attributes analysis Figure: Potassium and pH for crops attributes Analysis Using supervised learning, the ML model for crop recommendations was developed. This method's primary objective is to inform farmers about the crop yield beforehand in order to provide them with crop recommendations that will help them select a crop that will yield more profitably.	cache/cana-2687.pdf	txt/cana-2687.txt