Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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This study investigated the contribution of fish farming to the socio-economic status of fish farmers in Ebonyi State, Nigeria. Multi-stage sampling techniques was used and 96 farmers were chosen at random. Structured questionnaires were used to collect data, which was then analyzed using descriptive statistics and multiple regression models. The results of socioeconomic characteristics revealed that the majority of fish farmers (82.3%) were male, married (62.5%), well-educated, and between the ages of 31 and 40 (43.8%). Benefits derived and constraints faced by farmers had a significant influence on their socio-economic status at p≤0.025 and p≤0.007 respectively.
Igwe, J.A.. 2026. \u201cThe Contribution of Fish Farming to the Socio-Economic Status of Fish Farmers in Ebonyi State, Nigeria\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 24 (GJSFR Volume 24 Issue D1): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
Total Score: 138
Country: China
Subject: Global Journal of Science Frontier Research - D: Agriculture & Veterinary
Authors: Igwe, J.A, Olaide, S, Umoh, C.D., Okeke, PA (PhD/Dr. count: 0)
View Count (all-time): 137
Total Views (Real + Logic): 590
Total Downloads (simulated): 19
Publish Date: 2026 01, Fri
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This study investigated the contribution of fish farming to the socio-economic status of fish farmers in Ebonyi State, Nigeria. Multi-stage sampling techniques was used and 96 farmers were chosen at random. Structured questionnaires were used to collect data, which was then analyzed using descriptive statistics and multiple regression models. The results of socioeconomic characteristics revealed that the majority of fish farmers (82.3%) were male, married (62.5%), well-educated, and between the ages of 31 and 40 (43.8%). Benefits derived and constraints faced by farmers had a significant influence on their socio-economic status at p≤0.025 and p≤0.007 respectively.
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