Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis vinifera) Foliar Wastes

MLA

Maliheh Eftekhari, et al. “Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis Vinifera) Foliar Wastes.” Frontiers in Plant Science, vol. 9, June 2018. EBSCOhost, https://doi.org/10.3389/fpls.2018.00837.

APA

Maliheh Eftekhari, Abbas Yadollahi, Hamed Ahmadi, Abdolali Shojaeiyan, & Mahdi Ayyari. (2018). Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis vinifera) Foliar Wastes. Frontiers in Plant Science, 9. https://doi.org/10.3389/fpls.2018.00837

Chicago

Maliheh Eftekhari, Abbas Yadollahi, Hamed Ahmadi, Abdolali Shojaeiyan, and Mahdi Ayyari. 2018. “Development of an Artificial Neural Network as a Tool for Predicting the Targeted Phenolic Profile of Grapevine (Vitis Vinifera) Foliar Wastes.” Frontiers in Plant Science 9 (June). doi:10.3389/fpls.2018.00837.