id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
hungeobull-12631	Farmonov, Nizom; Amankulova, Khilola ; Khan, Shahid Nawaz; Abdurakhimova, Mokhigul ; Szatmári, József ; Khabiba, Tukhtaeva; Makhliyo, Radjabova; Khodicha, Meiliyeva; Mucsi, László 	Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting	2024	16	.pdf	application/pdf	7053	431	54	The forecasting process acknowledges the influence of various biotic and abiotic fac- tors on crop yield and necessitates a com- prehensive understanding and management of these elements for a full grasp of the yield dynamics. Physical models simulate crop-growing conditions in combi- nation with parameters that affect crop yield.	cache/hungeobull-12631.pdf	txt/hungeobull-12631.txt