عربى
Abdulwahed Mohamed Aboukarima
Department
Agriculture Power and Energy
Prizes or Award
Contacts
E-mail address
basuni92@hotmail.com
Fax
5010609
Awarded Degrees
Degree
BSc, Egypt, Alexandria in [1981]
Masters, Egypt, Alexandria
Title:
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in [1992]
Current degree
Degree
PHD, Egypt, Ain Shams in [2001]
Rank
Assistant Researcher
in Agricultural Engineering Research Institute (AENRI) [01/01/1986]
Publications
Effect of Tillage Depth and Rear Wheel Slip of a Front – Wheel Assist Tractor on Wheel Weight Transfer
Effect of Rear Tire Inflation Pressure on Front Wheel Assist Tractor Performance
-Application of Artificial Neural Networks to Forecast Self-Sufficiency Ratio of Red Meat in Egypt
Forecasting of Self-Sufficiency Ratio of Sugar in Egypt Using Artificial Neural Networks
Effect of Forward Speed, Plowing Depth and Inflation Pressure on Tractor Performance during Tillage I: In Clay Loam Soil
Plows Performance under Egyptian conditions Depicted by Artificial Neural Networks
Artificial Neural Network-Based Method to Identify Five Varieties of Egyptian Faba Bean According to Seed Morphological Features
Evaluation of Multiple Linear Regression and K-Nearest Neighbor Methods for Predicting Solar Radiation in Saudi Arabia
Predicting the Performance Parameters of Chisel Plow Using Neural Network Model
Predicting the Performance Parameters of Chisel Plow Using Neural Network Model
Identification of Indian jujube varieties cultivated in Saudi Arabia using an artificial neural network
Application of a multilayer perceptronartificial neural network for identificationof peach cultivars based on physicalcharacteristics
Development of an artificial neural network asa tool for predicting the chemical attributes offresh peach fruits
Dimensional Analysis To Estimate The Unsaturated Hydraulic Conductivity Of A Sandy Loam Soil In The Agricultural Field
Evaluation of Artificial Neural Network to Model Performance Attributes of a Mechanization Unit (Tractor-Chisel Plow) under Different Working Variables
Conference/Workshop:
Fuzzy Logic For Prediction Soil Resistance Based on Physical properties
Using Neural Networks and Linear Regression For Predicting Energy Requirements in Plowing
Relative importance of Variables Affecting Chisel-Plow Performance Using Neural Networks
Predicting Unit Draft of Tillage Implements Using Statistical Models and Neural Net Works
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