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1 Ergebnisse
1
SoyNet: Deep Learning Approaches for Automated Soybean Seed..:
, In:
2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
,
Pratap, Harshita
;
Guru Prasad, M S
;
Agarwal, Poorvi
... - p. 613-617 , 2024
Link:
https://doi.org/10.1109/InCACCT61598.2024.10551180
RT T1 <cTitle>2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)</cTitle>: T1 <Title>SoyNet: Deep Learning Approaches for Automated Soybean Seed Quality Assessment</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10551180&Exemplar=1&LAN=DE A1 Pratap, Harshita A1 Guru Prasad, M S A1 Agarwal, Poorvi A1 Bhardwaj, Ayushi A1 Mehra, Ayushi A1 Mathpati, Shilpa YR 2024 K1 Deep learning K1 Proteins K1 Analytical models K1 Shape K1 Computational modeling K1 Soft sensors K1 Refining K1 Soybeans K1 Seed Quality Analysis K1 Deep Learning K1 CNN K1 VGG16 K1 Agricultural Processes SP 613 OP 617 LK http://dx.doi.org/https://doi.org/10.1109/InCACCT61598.2024.10551180 DO https://doi.org/10.1109/InCACCT61598.2024.10551180 SF ELIB - SuUB Bremen
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