Published in Scientific Bulletin. Series F. Biotechnologies, Vol. XXVIII, Issue 2
Written by Oana LIVADARIU, Alexandra ADAM, Ana ENE
This article presents the results of an academic exercise aimed at selecting an AI-efficient working tool between AISA1 from TC1 and AISA2 from TC2 to identify LED’s light, and plant keywords in scientific articles available on-line from publications of USAMV of Bucharest. Such a tool is necessary for students, teachers, and researchers who have scientific activity with implications in the use of LED’s light to plants. Each tool used three keyword search variants, namely: individual keywords, a succession of keywords, and an explicit request for identification (identifies in the scientific publications of USAMV of Bucharest the following keywords: LED’s, light, and plants). The results obtained, for each of the three variants of keyword identification, indicate both the use of the AISA1 AI-based working tool from TC1 for quick identification of text-based information without identification by accurate academic citation of the source, as well as using the AISA2 AI-based tool from TC2 to quickly identify text information and sources as links that it must be accessed, studied and selected in established academic mode. Both tools can provide information that through concatenation generates a basic image for the primary verification of the existence of LED’s, light, and plant keywords, in scientific articles available on-line from publications of USAMV of Bucharest.
[Read full article] [Citation]
