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Vol.1 , No. 4, Publication Date: Oct. 27, 2014, Page: 98-102
| [1] | Oladosu Olakunle Abimbola, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [2] | Haastrup Victor Adeleye, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [3] | Okikiola Folasade Mercy, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [4] | Ishola Patience Eloho, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
| [5] | Oladiboye Olasunkanmi Esther, Department of Computer Technology, Yaba College of Technology, Yaba, Lagos. |
The process of integration of multiple data and knowledge representing the same real-world object into a consistent, accurate, and useful representation is known as data fusion. In a world where drought and disease has being a major setback in the agricultural sector both in mechanized and non-mechanized farming, it is necessary to have a method of detecting the degree of the adverse effect these will have on crop yield, as it will help in the quality of decision that will be made to aid production. The data fusion software is an application that can gather and collate information from multiple platforms delivering a more comprehensive view of intelligence than from a single source. The purpose of this research is to enable users’ input detailed analyses of infested and drought affected crop for comprehensive report which can be used for decision making. This work was designed to be robust as it has the ability to show information about each crop being observed, display pictures of good and affected crop, botanical names of each crop, the effect of drought and disease on each of the crop and show the fusion of the effect of drought and disease on the crop.
Keywords
Data Fusion, Mechanized, Pattern Recognition, Lexicon, Dataset, Drought, Pathogen
Reference
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