id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-3679	Hem Chandra Joshi	Evaluating Deep Learning Approaches for Accurate Soil Moisture Prediction	2025	15	.pdf	application/pdf	5983	400	40	This study provides valuable insights into the comparative performance of deep learning models. The results validate the applicability of deep learning models, particularly Transformer and Conv- LSTM architectures, for soil moisture prediction.	cache/cana-3679.pdf	txt/cana-3679.txt