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1
SVM Multi-Class Algorithm for Soybean Land Suitability Eval..:
, In:
2022 International Conference on Information Technology Research and Innovation (ICITRI)
,
Nurkholis, Andi
;
Styawati
;
Sitanggang, Imas Sukaesih
... - p. 65-70 , 2022
Link:
https://doi.org/10.1109/ICITRI56423.2022.9970216
RT T1 <cTitle>2022 International Conference on Information Technology Research and Innovation (ICITRI)</cTitle>: T1 <Title>SVM Multi-Class Algorithm for Soybean Land Suitability Evaluation</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9970216&Exemplar=1&LAN=DE A1 Nurkholis, Andi A1 Styawati A1 Sitanggang, Imas Sukaesih A1 Jupriyadi A1 Matin, Abdal A1 Maulana, Panca YR 2022 K1 Support vector machines K1 Technological innovation K1 Temperature K1 Production K1 Predictive models K1 Prediction algorithms K1 Soil texture K1 land suitability K1 polynomial K1 radial basis function K1 sigmoid K1 soybean K1 support vector machine SP 65 OP 70 LK http://dx.doi.org/https://doi.org/10.1109/ICITRI56423.2022.9970216 DO https://doi.org/10.1109/ICITRI56423.2022.9970216 SF ELIB - SuUB Bremen
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