Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
February 17, 2026
Neural Networks and Rules-based Systems used to Find Rational and
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The study was carried out to examine the small holder fish farmer’s information and training needs in Ogun State of Nigeria. Simple random sampling was used to select forty (40) fish farmers from each of the selected four agricultural extension zones. These data were collected from field through the use of structured interview; data obtained was subjected to descriptive statistics and inferential statistics. The study revealed that majority of the respondents fell between the age bracket of 41 and 50 years, over 60.0% were males and were married, with an household size ranges between 4 -6 persons on average of 5 persons per house hold. The result indicated that majority of fish farmers sold fishes above N300:00 in all the four extension zones. The study show that majority of the respondents in the four agricultural extension zones performed fish farming management practices (cleaning, weeding, water quality) maintenance more frequently. Also fish production constraints faced includes high cost of feed, farm microcredit procurement and inadequate capital. The result of the hypotheses (ANOVA) revealed that there is a significant difference between the socioeconomic characteristics othe fish farmers and thier information and training needs at p
Adekoya. 2014. \u201cSmall Holder Fish Farmeras Information and Training Needs in Ogun State of Nigeria\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 14 (GJSFR Volume 14 Issue D3): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
The methods for personal identification and authentication are no exception.
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Neural Networks and Rules-based Systems used to Find Rational and
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The study was carried out to examine the small holder fish farmer’s information and training needs in Ogun State of Nigeria. Simple random sampling was used to select forty (40) fish farmers from each of the selected four agricultural extension zones. These data were collected from field through the use of structured interview; data obtained was subjected to descriptive statistics and inferential statistics. The study revealed that majority of the respondents fell between the age bracket of 41 and 50 years, over 60.0% were males and were married, with an household size ranges between 4 -6 persons on average of 5 persons per house hold. The result indicated that majority of fish farmers sold fishes above N300:00 in all the four extension zones. The study show that majority of the respondents in the four agricultural extension zones performed fish farming management practices (cleaning, weeding, water quality) maintenance more frequently. Also fish production constraints faced includes high cost of feed, farm microcredit procurement and inadequate capital. The result of the hypotheses (ANOVA) revealed that there is a significant difference between the socioeconomic characteristics othe fish farmers and thier information and training needs at p
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