Computer aids for the identification of nematodes
Code (CO)MSI99P0022
Author (AU)Fong San Pin, F. H. F. G.
Organisation (OR)University of Dundee, Dundee, GB
Title - English (ET)Computer aids for the identification of nematodes
Thesis-Parent title (TH)Dissertation, M.Sc.
Document Type(DT)Thesis
Date of publication (DP)1986
Source (SO)32 p., 2 figs., 4 tbls., 3 appen.
Language of text (LT)En
Language of summaries (LS)En
Abstract (AB)Research on nematodes depends to a large extent on the ability to identify them quickly and accurately. A program already exists at the Scottish Crop Research Institute (SCRI) that uses two methods of identification. These are the methods of Mismatch and the method of Statistics. However, this program is relatively inefficient and the second method does not work satisfactorily. Based on the existing program, a system is to be designed and implemented incorporating three methods of identification, namely the two existing methods and the method of Gower. It aims at providing methods of identification that are more convenient, more reliable and less tedious. Execution times on existing methods of identification have been reduced from six minutes and twelve minutes to two minutes and six minutes respectively.
Descriptors - English (DE)COMPUTER SOFTWARE
IDENTIFICATION
NEMATODA
SUGARCANE
PESTS
Descriptors - Geographic (DG)MAURITIUS
Sort Key 1(K1)Sugarcane: Pests, pest control and management
Sort Key 2 (K2)Nematodes
Call Number (CN)001.642:595.182
Date record entered (DA)1991-10-17
Language of analysis (LA)En
Affiliation (AF)Mauritius Sugar Industry Research Institute
Location (LO)LIB
Processing status (PS)CAT
Number of copies (NC)2
MSIRI Staff (MS)BIOM