Saygın, 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 (Cambridge) , vol.161, no.2 , 187-204.

Saygın, F., Şavşatlı, Y., Dengiz, O., Yazıcı, K., Namlı, 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 (Cambridge) , vol.161, no.2, 187-204.

Saygın, Fikret 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 (Cambridge) , vol.161, no.2, 187-204, 2023

Saygın, Fikret 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 (Cambridge) , vol.161, no.2, pp.187-204, 2023

Saygın, 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 (Cambridge) , vol.161, no.2, pp.187-204.

@article{article, author={Fikret Saygın 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 (Cambridge)}, year=2023, pages={187-204} }