CALCULABLE-CONTENTS IDENTIFICATION MATRIX: A COMPUTERISABLE KEY FORMAT FOR PLANT IDENTIFICATION
Many of the paper-based/printable taxonomic key formats available for plant identification are fraught with inadequacies: fixed sequence of steps, non- readily amenable to automation or computerisation, lack of provision for confirmation of suspected plant identity and indeterminable character states, tedious construction and navigation procedures, and inability of users to ascertain the extent of reliability of the identification process. Aimed at making the practice of plant taxonomy more attractive, less laborious and dreaded, this paper proposes the calculable-contents identification matrix (CCIM), a new key format with structural and functionality attributes to circumvent some of the enumerated challenges. The status and prospects of CCIM are discussed with reference to the inadequacies observed in the dichotomous key format with which most taxonomists are familiar. Based on its features, applicability and potential outputs, CCIM is adjudged to be a useful template for reliable manual and electronic methods of plant diagnosis.
Authors
- Adepoju Tunde Joseph Ogunkunle (ORCID: https://orcid.org/0000-0002-7538-7655)
Publication Details
- Journal
- International Journal of Artificial Intelligence & Applications
- Published
- 2025-09-28
- DOI
- https://doi.org/10.5121/ijaia.2025.16505
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00