An improved version of Leasys: an intelligent plant identification system

Authors

  • Abdullahi Alamanamu Abdulrahaman Department of Plant Biology, University of Ilorin, Ilorin, Nigeria
  • Bolaji La'aro Asaju Department of Computer Science, University of Ilorin, Ilorin, Nigeria
  • Moses Arigbede Department of Computer Sciences, University of Ilorin, Ilorin, Nigeria
  • Felix Ayotunde Oladele Department of Plant Biology, University of Ilorin, Ilorin, Nigeria

DOI:

https://doi.org/10.17700/jai.2012.3.1.64

Abstract

In an attempt to make identification of plants easy and less cumbersome, computer-based software called Leasys was developed. It is a computerized version of a field key prepared for on-the-spot identification of savanna tree species in Nigeria. Leasys 1.1 is an improved version of the earlier version developed by the same authors. The current version is more expansive than the first version and thus has more features which make identification process faster and easier. Incorporated in Leasys 1.1 are some other features that make it more robust, flexible and versatile. These features include Leasys Property Registration which makes identification of a plant along two selection paths possible, Leasys Plant Management which inserts, updates and deletes plant data from the database, Leasys Deduction System whicht enables the user identify a plant by inputting a leaf feature and Leasys Quick Search which brings about fast identification of plant without going through the step by step process of identification. It is also possible to print one or all results generated. Leasys has a database on two hundred (200) different savanna trees. The system has the potential and capacity to accommodate very large number of species and very large number of taxonomic characters. With the implementation of a specialized algorithm based on the SQL OLEDB engine, AND operator professional reporting system, impressive nature GUI’s network compatibility and an enhanced interaction level, Leasys has the great potengtial for progressive upgrading.

Author Biographies

Abdullahi Alamanamu Abdulrahaman, Department of Plant Biology, University of Ilorin, Ilorin, Nigeria

Senior Lecturer, Department of Plant Biology, University of Ilorin, Ilorin, Nigeria

Bolaji La'aro Asaju, Department of Computer Science, University of Ilorin, Ilorin, Nigeria

Lecturer II, Department of Computer Science, University of Ilorin, Ilorin, Nigeria

Felix Ayotunde Oladele, Department of Plant Biology, University of Ilorin, Ilorin, Nigeria

Professor, Department of Plant Biology, University of Ilorin, Ilorin, Nigeria

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Published

2012-06-14

How to Cite

Abdulrahaman, A. A., Asaju, B. L., Arigbede, M., & Oladele, F. A. (2012). An improved version of Leasys: an intelligent plant identification system. Journal of Agricultural Informatics, 3(1). https://doi.org/10.17700/jai.2012.3.1.64

Issue

Section

Journal of Agricultural Informatics