Zobrazeno 1 - 4
of 4
pro vyhledávání: '"T. K. Zin El-Abedin"'
Publikováno v:
Misr Journal of Agricultural Engineering. 34:2151-2162
Knowledge of the wetted pattern dimensions is important in designing and managing efficient drip irrigation systems. Distance between emitters, root zone depth and emitter flow rates must be matched to the soil’s wetting characteristics and the amo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ddf948766b3d70bc7783c6d2edeb0b7
https://doi.org/10.21608/mjae.2017.96537
https://doi.org/10.21608/mjae.2017.96537
Autor:
Paweł Kubica, Halina Ekiert, T. K. Zin El-Abedin, Kowiyou Yessoufou, Eman A. Mahmoud, Hosam O. Elansary, Agnieszka Szopa
Identifying phenols in ornamental trees may provide sources of natural compounds that have applications in the agricultural and pharmaceutical industries. In this study, we profiled phenolic acids in the bark of Quercus sp. using HPLC-DAD. Q. robur s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::26bccea7c001d1c10f9e8665674678d7
https://ruj.uj.edu.pl/xmlui/handle/item/257264
https://ruj.uj.edu.pl/xmlui/handle/item/257264
Publikováno v:
Misr Journal of Agricultural Engineering. 32:145-172
Although, as compared to other crop models, AquaCrop has a significantly smaller number of parameters and a better balance between simplicity, accuracy and robustness, AquaCrop model is not yet available for fruit trees. So, AquaCrop model was studie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ee81182d312df9584872ee9b611759c
https://doi.org/10.21608/mjae.2015.98696
https://doi.org/10.21608/mjae.2015.98696
Publikováno v:
Agricultural Water Management. 148:63-71
An artificial neural network (ANN) was developed for estimating the infiltrated water volume ( Z ) under furrow irrigation. A feed-forward neural network using back-propagation training algorithm was developed for the prediction. Four variables were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3abb5084d57b61041c32b54878fa068f
https://doi.org/10.1016/j.agwat.2014.09.015
https://doi.org/10.1016/j.agwat.2014.09.015