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Demonstration of a Highly Developed CNN-SVM Model to Accura..:
, In:
2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
,
Tanwar, Vishesh
;
Anand, Vatsala
;
Aggarwal, Priyanshi
. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICAECT60202.2024.10468934
RT T1 <cTitle>2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)</cTitle>: T1 <Title>Demonstration of a Highly Developed CNN-SVM Model to Accurately Assess the Degree of Brown Rot in Orange Leaf</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10468934&Exemplar=1&LAN=DE A1 Tanwar, Vishesh A1 Anand, Vatsala A1 Aggarwal, Priyanshi A1 Kumar, Mukesh YR 2024 K1 Support vector machines K1 Computational modeling K1 Crops K1 Predictive models K1 Data models K1 Agriculture K1 Classification algorithms K1 CNN K1 SVM K1 Deep-learning hybrid model K1 Brown rot K1 Orange Diseases severity K1 agriculture K1 Plant Disease K1 healthy SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICAECT60202.2024.10468934 DO https://doi.org/10.1109/ICAECT60202.2024.10468934 SF ELIB - SuUB Bremen
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