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1 Ergebnisse
1
Computer Vision-Based Automated Detection and Severity Grad..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Kumar, Manoj
;
Sethi, Isha
- p. 1-4 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10503168
RT T1 <cTitle>2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)</cTitle>: T1 <Title>Computer Vision-Based Automated Detection and Severity Grading of Rice Spot Disease for Precision Management</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10503168&Exemplar=1&LAN=DE A1 Kumar, Manoj A1 Sethi, Isha YR 2024 K1 Support vector machines K1 Deep learning K1 Training K1 Plant diseases K1 Computer vision K1 Technological innovation K1 Computational modeling K1 Deep Learning for Crop Disease K1 Rice Spot Disease K1 Ensemble Learning K1 Disease Severity Grading K1 Deep Learning K1 Automated Disease Grading SP 1 OP 4 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10503168 DO https://doi.org/10.1109/IATMSI60426.2024.10503168 SF ELIB - SuUB Bremen
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