بوابة الأبحاث - جامعة المنيا

تصنيف نمو الأسماك المبني على تركيز نسبة الأمونيا

معتز ماهر كيلانى عبد العزيز

عنوان البحث بالعربية :

تصنيف نمو الأسماك المبني على تركيز نسبة الأمونيا

عنوان البحث بالأنجليزية :

Fish Growth Performance Classification Based on Ammonia Concentrations

الرابط :

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نوع البحث :

مشترك

المجلة العلمية :

Third International Afro-European Conference for Industrial Advancement, Marrakesh, Morocco

عدد المجله

إصدار :

vol 565. Springer

ملخص البحث :

Ammonia is defined as the hidden assassin of a variety of aquatic organisms including fish. Moreover, The ammonia concentrations affect fish hatcheries and growth rates. Relatively, this affects a main source of protein for human consumption, plus the toxicity that may be a cause of convulsions, coma, and human death. Therefore, monitoring ammonia levels and their effects are important for human safety. This paper introduces a classification of growth performance levels those produced by Nile Tilapia fish, which are related to the concentration of ammonia in water. The proposed approach is a hybrid approach that uses Water Wave optimization (WWO) technique and Support Vector Machine (SVM) classifier for optimally classify fish growth level. Through breeding 160 Tilapia fish, a number of physical measurements, such as length, weight and protein level of a fish, were gathered through time duration of 60 days. The experimental results show an improved classification accuracy of the proposed hybrid approach over the traditional SVM that reached to 90.48% detection accuracy.

عام :

2016

المرفقات :

تحميل

محلي || دولي :

دولى

رقم البحث التعريفي :

10.1007/978-3-319-60834-1_33

أسم الدكتور :

معتز ماهر كيلانى عبد العزيز

Google Scholar URL :

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Research Gate URL :

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