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1 Ergebnisse
1
Insect Identification in Field Crops Using CNN:
, In:
2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)
,
K, Subhashini
;
V, Dhanush Kumar
;
S, Rohith Jones
... - p. 01-06 , 2023
Link:
https://doi.org/10.1109/ICCEBS58601.2023.10449045
RT T1 <cTitle>2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS)</cTitle>: T1 <Title>Insect Identification in Field Crops Using CNN</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10449045&Exemplar=1&LAN=DE A1 K, Subhashini A1 V, Dhanush Kumar A1 S, Rohith Jones A1 K K, Santosh A1 R, Pavithra A1 R, Pradeepa A1 Karthigeyan, Sandhiya A1 T, Shruthi Priya A1 P, Saranya A1 V L, Ram Lashmi YR 2023 K1 Productivity K1 Insects K1 Sociology K1 Crops K1 Feature extraction K1 Convolutional neural networks K1 Statistics K1 Insect detection K1 Tissue-borers K1 Gundhi bugs. Paddy gall fly K1 Rice hispa K1 Agriculture sector K1 Convolutional Neural Network K1 Insect Identification. Good insects K1 Bad Insect K1 Pesticides K1 Machine Learning SP 01 OP 06 LK http://dx.doi.org/https://doi.org/10.1109/ICCEBS58601.2023.10449045 DO https://doi.org/10.1109/ICCEBS58601.2023.10449045 SF ELIB - SuUB Bremen
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