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Prediction and classification of rice leaves using the impr..:
Bhimavarapu, Usharani
Multimedia Tools and Applications. 82 (2023) 14 - p. 21701-21714 , 2023
Link:
https://doi.org/10.1007/s11042-023-14631-7
RT Journal T1 <Title>Prediction and classification of rice leaves using the improved PSO clustering and improved CNN</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s11042-023-14631-7&Exemplar=1&LAN=DE A1 Bhimavarapu, Usharani PB Springer Science and Business Media LLC YR 2023 SN 1380-7501 SN 1573-7721 JF Multimedia Tools and Applications VO 82 IS 14 SP 21701 OP 21714 LK http://dx.doi.org/https://doi.org/10.1007/s11042-023-14631-7 DO https://doi.org/10.1007/s11042-023-14631-7 SF ELIB - SuUB Bremen
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