Determination of Optimized Locations for Modular Rice Paddy Aggregation Centres in Anambra State, Nigeria by GIS-Based Approach
DOI:
https://doi.org/10.24203/ajas.v10i6.7090Keywords:
Rice, GIS, aggregation centres, Location, Modelling, optimizationAbstract
In this study an attempt was made to appraise the adequacy of the existing number and Locations of Rice aggregation centres (RAC) in the state and propose optimal numbers and their locations in the eight agricultural zones of Anambra state, Nigeria using Geographic Information System (GIS) methodology. This method involves spatial decision, which deals with a large set of feasible alternatives through the use of remotely sensed data in providing the required spectral and spatial information for generating information layers for rice aggregation centres selection criteria. The study discovered thirteen sites fulfilling all sitting criteria for location of rice aggregation centres. The results propose that two locations be allotted to Ayamelum in addition to the 4 existing centres, thereby bringing it to a total of 6 aggregation centres with a mean distance of 2.8km. Anambra East which had one aggregation centre was allocated 2 aggregation centres with a mean distance of 2.65km from the rice farms. Anambra West which previously had no aggregation centre was allocated one aggregation centre with a mean distance of 2km. Awka North was also allocated two aggregation centres with a mean distance of 3.3km from the rice farms. Orumba South which previously had no centre was proposed one aggregation centre with a mean distance of 4.1km from the rice farms. Orumba North which previously had no centre was allocated two aggregation centres with a mean distance of 3.4km from the rice farms. Ihiala, had no aggregation centre but was allocated 1 aggregation centre which has a mean distance of 3.6km from the rice farms. Ogbaru previously had one aggregation centre but was allocated 1 more aggregation centre with a mean distance of 3.8km from the rice farms. These results have shown that GIS-based location modelling can be successfully used in locating agro-service centres such as products aggregation centres.
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