A fuzzy-based decision support system for soil selection in olericulture

Authors

  • Adebukola Onashoga FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA
  • Olusegun Ojesanmi FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA
  • Femi Johnson FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA
  • Femi Emmanuel Ayo McPherson University, Ogun State Nigeria

DOI:

https://doi.org/10.17700/jai.2018.9.3.480

Abstract

With the advent of modern computer technology, the field of Artificial Intelligence is playing a significant role in improving almost every spectrum of human life. In the field of agriculture, there is always need for optimality with improved crop yield. This paper dwells majorly on the application of fuzzy logic to predict crop type with optimal crop yield based on available soil nutrients. Some soil data samples were collected from the department of soil science, Federal University of Agriculture, Abeokuta and used as input into the system. The proposed system was simulated using MatLab Fuzzy inference System with a triangular member function. The range of nutrients was later deployed as input into a visual basic developed application to predict the best crop to be planted. A dual method (static and dynamic) was used in testing and validating the result of research which showed a significant improvement on the crop type selection than the conventional prediction mode.

Author Biographies

Adebukola Onashoga, FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA

ASSOCIATE PROFESSOR, DEPARTMENT OF COMPUTER SCIENCE FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA, OGUN STATE NIGERIA

Olusegun Ojesanmi, FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA

ASSOCIATE PROFESSOR, DEPARTMENT OF COMPUTER SCIENCE FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA, OGUN STATE NIGERIA

Femi Johnson, FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA OGUN STATE NIGERIA

DEPARTMENT OF COMPUTER SCIENCE FEDERAL UNIVERSITY OF AGRICULTURE, ABEOKUTA, OGUN STATE NIGERIA

Femi Emmanuel Ayo, McPherson University, Ogun State Nigeria

Researcher/Lecturer Department of Physical and Computer science McPherson University, Ogun State

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Published

2018-12-30

How to Cite

Onashoga, A., Ojesanmi, O., Johnson, F., & Ayo, F. E. (2018). A fuzzy-based decision support system for soil selection in olericulture. Journal of Agricultural Informatics, 9(3). https://doi.org/10.17700/jai.2018.9.3.480

Issue

Section

Journal of Agricultural Informatics