H. EROL Et Al. , "Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data," European Conference on Electrical Engineering and Computer Science (EECS) , Bern, Switzerland, pp.180-187, 2017
EROL, H. Et Al. 2017. Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data. European Conference on Electrical Engineering and Computer Science (EECS) , (Bern, Switzerland), 180-187.
EROL, H., BARUTÇULAR, C., El Sabagh, A., & Erol, R., (2017). Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data . European Conference on Electrical Engineering and Computer Science (EECS) (pp.180-187). Bern, Switzerland
EROL, HAMZA Et Al. "Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data," European Conference on Electrical Engineering and Computer Science (EECS), Bern, Switzerland, 2017
EROL, HAMZA Et Al. "Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data." European Conference on Electrical Engineering and Computer Science (EECS) , Bern, Switzerland, pp.180-187, 2017
EROL, H. Et Al. (2017) . "Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data." European Conference on Electrical Engineering and Computer Science (EECS) , Bern, Switzerland, pp.180-187.
@conferencepaper{conferencepaper, author={HAMZA EROL Et Al. }, title={Data Mining Models for Selection of the Best Spectral Reflectance Indices in Estimation of Crop Yields and Classification of Maize Hybrid Types Using SpectroRadiometer Data}, congress name={European Conference on Electrical Engineering and Computer Science (EECS)}, city={Bern}, country={Switzerland}, year={2017}, pages={180-187} }