Zobrazeno 1 - 2
of 2
pro vyhledávání: '"M.Z. El Attar"'
Publikováno v:
Misr Journal of Agricultural Engineering. 27:1721-1735
Artificial Neural Network model is used to predict engineering factors [bulk density, hydraulic conductivity, infiltration rate, soil penetration resistance and available water], under three different soil amendments [Bitumen Emulsion, Polyacrylamide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e463c7aa9943a13a52c4c20beea9837a
https://doi.org/10.21608/mjae.2010.105113
https://doi.org/10.21608/mjae.2010.105113
Publikováno v:
Misr Journal of Agricultural Engineering. 25:712-722
A simulation of olive-tree harvesting model was constructed using measured tree's physical properties. It has been found that top parts of olive-tree respond to higher frequency "22Hz, and displacement of 10cm", while bottom portion was not harvested
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd718f7b56188e137e44aa3c791cbb3d
https://doi.org/10.21608/mjae.2008.191015
https://doi.org/10.21608/mjae.2008.191015