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1 Ergebnisse
1
Predictive Analytics Techniques in the Agricultural Industr..:
, In:
2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)
,
Rodrigues, Anisha P
;
Fernandes, Roshan
;
Vijaya, P.
.. - p. 1-6 , 2024
Link:
https://doi.org/10.1109/ICRITO61523.2024.10522171
RT T1 <cTitle>2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)</cTitle>: T1 <Title>Predictive Analytics Techniques in the Agricultural Industry: A Case Study</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10522171&Exemplar=1&LAN=DE A1 Rodrigues, Anisha P A1 Fernandes, Roshan A1 Vijaya, P. A1 Al Washahi, Maryam A1 Shaker, Hothefa YR 2024 SN 2769-2884 K1 Analytical models K1 Rain K1 Temperature K1 Weather forecasting K1 Production K1 Soil K1 Agriculture K1 Crop Prediction K1 Machine Learning K1 Deep Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICRITO61523.2024.10522171 DO https://doi.org/10.1109/ICRITO61523.2024.10522171 SF ELIB - SuUB Bremen
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