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An Efficient Machine Learning Approaches for Crop Recommend..:
, In:
2023 Second International Conference on Electronics and Renewable Systems (ICEARS)
,
K, Sivanandam
;
M, Prasanth
;
B, Naveen
. - p. 71-76 , 2023
Link:
https://doi.org/10.1109/ICEARS56392.2023.10085361
RT T1 <cTitle>2023 Second International Conference on Electronics and Renewable Systems (ICEARS)</cTitle>: T1 <Title>An Efficient Machine Learning Approaches for Crop Recommendation based on Soil Characteristics</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10085361&Exemplar=1&LAN=DE A1 K, Sivanandam A1 M, Prasanth A1 B, Naveen A1 S, Saran YR 2023 K1 Technological innovation K1 Renewable energy sources K1 Machine learning algorithms K1 Crops K1 Soil K1 Predictive models K1 Prediction algorithms K1 K-Nearest Neighbor K1 Crop K1 Gateway K1 Sensor K1 Crop prediction K1 Model selection SP 71 OP 76 LK http://dx.doi.org/https://doi.org/10.1109/ICEARS56392.2023.10085361 DO https://doi.org/10.1109/ICEARS56392.2023.10085361 SF ELIB - SuUB Bremen
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