Saygln, F. Et Al. 2023. Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation. Journal of Agricultural Science , vol.161, no.2 , 187-204.

Saygln, F., Savşatll, Y., Dengiz, O., Yazlcl, K., Namll, A., KARATAŞ, A., ... ŞENOL, N. D.(2023). Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation. Journal of Agricultural Science , vol.161, no.2, 187-204.

Saygln, F. Et Al. "Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation," Journal of Agricultural Science , vol.161, no.2, 187-204, 2023

Saygln, F. Et Al. "Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation." Journal of Agricultural Science , vol.161, no.2, pp.187-204, 2023

Saygln, F. Et Al. (2023) . "Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation." Journal of Agricultural Science , vol.161, no.2, pp.187-204.

@article{article, author={F. Saygln Et Al. }, title={Soil quality assessment based on hybrid computational approach with spatial multi-criteria analysis and geographical information system for sustainable tea cultivation}, journal={Journal of Agricultural Science}, year=2023, pages={187-204} }