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 aims to assessing the role of biogas technology in saving biomass, mitigating green-house gases (GHG) emissions, and maintaining environmental sustainability in Aleta wondo woreda. The sample size, 196 households were selected and interviewed in systematic random sampling techniques. Data was analyzed using descriptive statistics and binary logit with the aid of STATA. Adoption of biogas technology significantly determined by proximity to water, access to credit, cattle size, availability of trained mason, land size and annual income. On average 1066.80kg biomass and 25.2 liter kerosene reduced; 2160.93kg CO2equivalent GHG emissions to the atmosphere mitigated annually per adopter households in the study area.
Gosaye Shegenu. 2018. \u201cDeterminant of Biogas Technology Adoption and Its Implication on Environmental Sustainablity: A Case of Aletawondo Woreda, Sidama Zone, South Ethiopia.\u201d. Global Journal of Human-Social Science - B: Geography, Environmental Science & Disaster Management GJHSS-B Volume 18 (GJHSS Volume 18 Issue B1): .
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Crossref Journal DOI 10.17406/GJHSS
Print ISSN 0975-587X
e-ISSN 2249-460X
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The study aims to assessing the role of biogas technology in saving biomass, mitigating green-house gases (GHG) emissions, and maintaining environmental sustainability in Aleta wondo woreda. The sample size, 196 households were selected and interviewed in systematic random sampling techniques. Data was analyzed using descriptive statistics and binary logit with the aid of STATA. Adoption of biogas technology significantly determined by proximity to water, access to credit, cattle size, availability of trained mason, land size and annual income. On average 1066.80kg biomass and 25.2 liter kerosene reduced; 2160.93kg CO2equivalent GHG emissions to the atmosphere mitigated annually per adopter households in the study area.
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