Olowojoba et al Greener Journal of Agricultural Sciences, Vol. 6 (2), pp. 059-068, February 2016. ISSN: 2276-7770 Research Paper Manuscript Number: 011416008 (DOI http://doi.org/10.15580/GJAS.2016.2.011416008) Land Suitability and Evaluation for the Production of Cassava in Akoko-Edo L.G.A. of Edo State using Geo-Technology Techniques ¹Olowojoba S.O., ¹Kappo A.A., ¹Ogbole J.O., ¹Alaga A.T., ²Mohammed S.O., ³Eguaroje E.O. ¹Cooperative Information Network, Obafemi Awolowo University Campus, Ile-Ife, Osun State, Nigeria. ²National Space Research and Development Agency (NASRDA), Nigeria. ³National Center For Remote Sensing, Jos, Plateau State, Nigeria. Abstract Nigeria’s economy is heavily dependent on the oil sector and this has led to neglect of the agricultural sector in the past. To diversify the economy is of paramount necessity in order to drift the economy from total dependence on the oil sector. In order to help in the reversal of this wholly dependence on the oil sector, the government has been advocating to shift attention to other key sectors of the economy and particularly agriculture. The government has initiated cassava production and exportation, this seeks to variegate the use of Nigerian- produced cassava through industrial processing and utilization options. This aims at giving domestic and exporters the opportunity to generate income for the government and individuals. To get the goal achieved, improved varieties of cassava have been made available for higher yields. In this study, GIS has been used to bring biophysical factors such as rainfall, temperature, sunshine hours, soil, soil slop, elevation and geology together; using Boolean in spatial analyst tools in ArcGIS 10.1 software to ascertain the most suitable area for cassava production in Akoko-Edo L.G.A. of Edo state. The most suitable area is highlighted for large scale cassava production for industries and prospective investors. Keywords: Geographic Information System, Boolean Calculator, Biophysical Factors, Spatial Analyst, Shuttle radar topographic mission. Return to Content View [Full Article – PDF] [Full Article – HTML] [Full Article – EPUB] Post-review Rundown View/get involved, click [Post-Review Page] References Alabi R. T. and Ibiyemi A. G. (2000). Rainfall in Nigeria and food crop production. Agronomy in Nigeria, University of Ibadan. Edited by M.O. Akoroda 63-66. Beek, K.J. and Bennema, J. (1972). Land evaluation for agricultural land use planning. An ecological methodology. Dept. Soil Sci. and Geol., Agric. University, Wageningen. 70 p. Spanish ed.: Boletin Latinoamericano sobre fomento de sierras y agues 3. Proyecto Regional FAO/PNUD RIA 70/457. Santiago, Chile. De la Rosa et al. (2004). A land evaluation decision support system (MICROLEIS DSS) for agricultural soil protection. Eviron modell softw 19: 929-924 FAO (2003). Digital Soil Map of the World and derived soil properties. FAO Land and water digital media series. FAO (1996). Our land use future: A new approach to land use planning and management. FAO of the United Nations, Italy. IFAD/FGN/NDDC CBNRMP (2012). A practical guide to improved package of practices for increased productivity of Cassava in the Niger-Delta. Malachy O. A. and Tunrayo R.A. (2005). Use of GIS in the implementation of Nigeria’s Cassava Industrial Revolution: (Beyond talk: Geo-information working for Africa. CSIR convention Centre). Tshwane (Peretoria), South Africa. PinoyFarmers.com (2002). Climatic and soil requirement cassava. www.pinoyfarmers.com/best practices. Sys P (1985). Land evaluation, International training centre for post graduate soil scientist State University, Ghent. Vol. I, II and III. Sittibusay 15. Van der Kevie, W. (e.d.). (1976) Manual for land suitability classification for agriculture. Part II, Guidelines for soil survey party chiefs. Soil Survey Administration, Wad Medani. Min. of Agric., Food and Nat. Resources, Sudan 106 + iii p.