A NOVEL METHOD WITH MULTILAYER FEED-FORWARD NEURAL NETWORK FOR MODELING OUTPUT YIELD IN AGRICULTURE


نویسندگان : Morteza Taki Meisam Haddad

چکیده :

The aim of this study was to examine energy use pattern and predict the output yield for greenhouse tomato production in Esfahan province of Iran. The data used in this study were collected from growers by using a face to face survey. The results revealed that diesel fuel (40%), chemical fer

کلید واژگان :

Artificial neural networks, Energy consumption, Greenhouse tomato production, Iran20



ارزش ریالی : 300000 ریال
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