Researchers

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: ???????????????? in [1992]

Current degree

Degree

PHD, Egypt, Ain Shams in [2001]

Rank

Assistant Researcher in Agricultural Engineering Research Institute (AENRI) [01/01/1986]

Publications

Journal:

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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