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 aimed to assess the effect of the flood on women farmers’ activities in flood-prone areas in Ibadan Metropolis, Oyo State, Nigeria. Sampling technique was multi-stage, data were collected with the aid of a questionnaire using an interview format to eighty-one respondents. Descriptive and inferential analyses were used to analyse the data obtained. The result revealed that livestock production was the most engaging activities and findings showed that 90.1% of the respondents were into poultry production. Also, the result revealed that the level of the flood was high (61.73) among the women farmers, which mean that the flood-affected virtually all aspects of agricultural activities in the study area. Significant relationship between respondents’ agricultural activities and effect of flood (r = -0.151, p ≤ 0.05). The study concluded that flood had an adverse effect on women farmers despite engaging in various agricultural activities to minimize the effect in the study area.
Aluko Olawale Julius. 2020. \u201cEffect of Flood on Women Farmers activities in Flood Prone Areas in Ibadan Metropolis, Oyo State, Nigeria\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 20 (GJHSS Volume 20 Issue B3): .
Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
Neural Networks and Rules-based Systems used to Find Rational and
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The study aimed to assess the effect of the flood on women farmers’ activities in flood-prone areas in Ibadan Metropolis, Oyo State, Nigeria. Sampling technique was multi-stage, data were collected with the aid of a questionnaire using an interview format to eighty-one respondents. Descriptive and inferential analyses were used to analyse the data obtained. The result revealed that livestock production was the most engaging activities and findings showed that 90.1% of the respondents were into poultry production. Also, the result revealed that the level of the flood was high (61.73) among the women farmers, which mean that the flood-affected virtually all aspects of agricultural activities in the study area. Significant relationship between respondents’ agricultural activities and effect of flood (r = -0.151, p ≤ 0.05). The study concluded that flood had an adverse effect on women farmers despite engaging in various agricultural activities to minimize the effect in the study area.
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