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Abdulwahed M. Aboukarima

Publications (5)

Modelling of Sodium Adsorption Ratio of the Soil Using Adaptive Neuro Fuzzy Inference System

Abdulwahed M. Aboukarima, Mohamed S. El-Marazky, Adel M. Ghoneim & Azza I. Ebid · Journal of Experimental Agriculture International · 2016

Soil management for crop production is a major concern for sustainability agricultural. Sodium adsorption ratio (SAR) of the soil is needed to quantify the amount of amendments. The objective of this study was to evaluate the performance of Adaptive Neuro Fuzzy Inference System (...

Open access Research Article 10.9734/JEAI/2016/26813

Impact of Mixing Biogas Liquid Manure with Soil on Water Infiltration under Flood Irrigation System

Mansour H. El-Bakhshwan, Abdulwahed M. Aboukarima & Samy G. Hemeda · Asian Research Journal of Agriculture · 2016

Biogas liquid manure is byproduct from biogas production projects. It is free from insects, flies, mosquitoes. Since the biogas projects are currently deployed in Egypt and the trend towards increased use, so the mixing such manure with soil can affect the water infiltration into...

Open access Research Article 10.9734/ARJA/2016/28768

Distribution of Natural Radionuclides in the Surface Soil in Some Areas of Agriculture and Grazing Located in West of Riyadh, Saudi Arabia

Mohammed A. Al-Sulaiman & Abdulwahed M. Aboukarima · Journal of Applied Life Sciences International · 2016

The distribution of 238U (Uranium-238), 232Th (Thorium-232), 40K (Potassium-40) and 137Cs (Caesium-137) in surface soil at various sites of agriculture and grazing located in west of Riyadh, Saudi Arabia was investigated under natural field conditions. These sites were located at...

Open access Research Article 10.9734/JALSI/2016/28502

Comparison of Empirical Models and an Adaptive Neuro Fuzzy Inference System for Estimating Hourly Total Solar Radiation on Horizontal Surface at Alexandria City, Egypt

Abdulwahab S. Kassem, Abdulwahed M. Aboukarima, Nasser M. El Ashmawy & Moamen F. Zayed · Advances in Research · 2016

Solar radiation data in a particular location is an important factor for agricultural applications and others. To estimate solar radiation, empirical models have been developed using different meteorological parameters. Recently, prediction models based on artificial intelligence...

Open access Research Article 10.9734/AIR/2016/27194

Calibration of Soil Water Content Data from EnviroSCAN System Using Artificial Neural Network

Hussein M. Al-Ghobari, Mohamed S. A. El Marazky, Abdulwahed M. Aboukarima & Mamdouh Minyawi · Journal of Experimental Agriculture International · 2016

Irrigation is one of the essential issues in agriculture in developing countries. Usually, in the developing countries, traditional farmers are likely to use more water than the required for crop production, thus wasting water. Hence, soil water sensors are typically needed in su...

Open access Research Article 10.9734/AJEA/2016/26237