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 issue of large scale land acquisitions for agricultural production by transnational corporations and foreign investors especially in sub-Sahara Africa has caused great concern in these Countries. This has given rise to the term land grabbing. This study investigated the effect of land grabbing on the per capita agriculture gross domestic product of the Country. Time series data were used for the study and the period span from 1980 to 2015. The per capita model and the trend model were used to estimate the per capita agriculture gross domestic product and its trend within the period. Also, the Augmented Dickey-Filler test for stationarity and the Johansen test for co-integration were performed to ensure that the variables were stationarity and that there is long run relationship between them. The vector error correction model was used to show the long run and short run relationships between the variables. The results show that the Country had an average per capita agriculture gross domestic product of N25 million for the period.
Simonyan J.B.. 2019. \u201cEffect of Land Grabbing on Growth in Nigeria’s Agricultural Sector (1980 -2015)\u201d. Global Journal of Science Frontier Research - D: Agriculture & Veterinary GJSFR-D Volume 19 (GJSFR Volume 19 Issue D4): .
Crossref Journal DOI 10.17406/GJSFR
Print ISSN 0975-5896
e-ISSN 2249-4626
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The issue of large scale land acquisitions for agricultural production by transnational corporations and foreign investors especially in sub-Sahara Africa has caused great concern in these Countries. This has given rise to the term land grabbing. This study investigated the effect of land grabbing on the per capita agriculture gross domestic product of the Country. Time series data were used for the study and the period span from 1980 to 2015. The per capita model and the trend model were used to estimate the per capita agriculture gross domestic product and its trend within the period. Also, the Augmented Dickey-Filler test for stationarity and the Johansen test for co-integration were performed to ensure that the variables were stationarity and that there is long run relationship between them. The vector error correction model was used to show the long run and short run relationships between the variables. The results show that the Country had an average per capita agriculture gross domestic product of N25 million for the period.
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