TITLE

Predicting the Yield of Crops Using Gis/Gps Integration - A Case Study at Benso Oil Palm Plantation Limited

AUTHOR(S)
Kumi-Boateng, Bernard; Yakubu, Issaka
PUB. DATE
May 2010
SOURCE
European Journal of Scientific Research;May2010, Vol. 42 Issue 2, p314
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Crop growth and yield are dependent on a number of factors such as soil type, weather conditions and cultivation practices. However, these factors vary significantly over a given area with time. The net effect of the variability of the factors is fluctuations in agricultural output. This paper discusses the prediction of crop yield using GIS/GPS integration. The area of study is the Benso Oil Palm Plantation (BOPP) Limited in the Western Region of Ghana. Data on yield and selected variables, namely; soil organic matter content, soil potassium content and amount of fertilizer applied, for fifty-five blocks was collected to predict the yield of oil palm. Global Positioning and Geographical Information Systems were used in the mapping of the study area to depict the variability of yield and the spatial factors. Inverse Distance Weighting (IDW) Interpolation method was used in the production of distribution maps for yield and the spatial factors. The results show that crop yield relates positively with the spatial factors selected.
ACCESSION #
50994846

 

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