id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fuelectenerg-13276	Behera, Dev Ashrit; Bhatia, Paras Singh; Kandpal, Meenakshi; Routray, Jyotirmayee; Mishra, Pranati; Agarwal, Shivani; Barik, Rabindra Kumar	HYBRID AI MODEL FOR PREDICTING AIR QUALITY AND RICE CROP YIELD USING SATELLITE DATA AND ENVIRONMENTAL VARIABLES	2025	26	.pdf	application/pdf	10209	560	46	The training data, combined with crop yield data from the same period, ensures comprehensive and reliable predictions for improved decision-making and resource management in agriculture. The steps include data alignment by ensuring temporal alignment of environmental data and calculated AQI with corresponding rice yield values, and combining features by merging all relevant environmental parameters Hybrid AI Model for Predicting Air Quality and Rice Crop Yield Using Satellite Data... 443 (O3, PM, CO, air moisture, soil temperature, and calculated AQI) with rice yield data.	cache/fuelectenerg-13276.pdf	txt/fuelectenerg-13276.txt