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Detection and Quantitative Prediction of Diplocarpon earlia..:

, In: 2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS),

Alajas, Oliver John ; Concepcion, Ronnie ; Bandala, Argel... - p. 1-8 , 2022

Link: https://doi.org/10.1109/IEMTRONICS55184.2022.9795744

RT 
T1 <cTitle>2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)</cTitle>: T1 <Title>Detection and Quantitative Prediction of Diplocarpon earlianum Infection Rate in Strawberry Leaves using Population-based Recurrent Neural Network</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-9795744&Exemplar=1&LAN=DE
				
A1 Alajas, Oliver John
A1 Concepcion, Ronnie
A1 Bandala, Argel
A1 Sybingco, Edwin
A1 Vicerra, Ryan Rhay
A1 Dadios, Elmer P.
A1 Mendigoria, Christan Hail
A1 Aquino, Heinrick
A1 Ambata, Leonard
A1 Duarte, Bernardo
YR 2022
K1 Image segmentation
K1 Recurrent neural networks
K1 Biological system modeling
K1 Machine learning
K1 Inspection
K1 Predictive models
K1 Prediction algorithms
K1 bio-inspired optimization
K1 computational intelligence
K1 computer vision
K1 digital agriculture
K1 leaf scorch
K1 plant pathology
K1 strawberry leaf spot
SP 1
OP 8
LK http://dx.doi.org/https://doi.org/10.1109/IEMTRONICS55184.2022.9795744
DO https://doi.org/10.1109/IEMTRONICS55184.2022.9795744
SF ELIB - SuUB Bremen

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