FORESTHEALTH, AN EXPERT ADVISORY SYSTEM FOR ASSESSING FOLIAR AND CROWN HEALTH OF SELECTED NORTHERN HARDWOODS

被引:30
作者
NASH, BL
SAUNDERS, MC
MILLER, BJ
BLOOM, CA
DAVIS, DD
SKELLY, JM
机构
[1] PENN STATE UNIV,ARTIFICIAL INTELLIGENCE APPLICAT,UNIV PK,PA 16802
[2] PENN STATE UNIV,DEPT ENTOMOL,UNIV PK,PA 16802
[3] PENN STATE UNIV,DEPT PLANT PATHOL,UNIV PK,PA 16802
来源
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE | 1992年 / 22卷 / 11期
关键词
D O I
10.1139/x92-231
中图分类号
S7 [林业];
学科分类号
0829 ; 0907 ;
摘要
Assessment of tree health requires accurate estimates of crown condition and identification of specific biotic and abiotic agents that may affect crowns, stems, or roots. Forest Health, an expert advisory system written in C language for the Macintosh(TM) platform, provides a diagnostic module and two training modules. The diagnostic module provides guidance in identifying foliar symptoms and the common insects, diseases, and abiotic disorders found on leaves of: sugar maple (Acer saccharum Marsh.), red maple (Acer rubrum L.), black cherry (Prunus serotina Ehrh.), northern red oak (Quercus rubra L.), and white oak (Quercus alba L.). Graphical user interfaces are central to both training modules. The Foliar Severity routine trains users to categorize injury (percent leaf area) on single leaves using a modified Horsfall-Barratt scale. The Crown Dieback routine displays different types and degrees of crown injury that users must identify and classify. Each crown is unique, generated in "real time" using tree-branch parameters selected by the user. Since the crowns are created on a three-dimensional basis, multiple views are possible. Written output from training sessions or periodic checks provide quantitative information for quality assurance and quality control. ForestHealth provides diagnostic assistance, training, quality assurance and quality control data, and standardization for research of survey projects involving forest health.
引用
收藏
页码:1770 / 1775
页数:6
相关论文
共 6 条
[1]  
Abbott R. J., 1986, INTEGRATED APPROACH
[2]  
Charniak E., 1985, INTRO ARTIFICIAL INT
[3]   ARTIFICIAL-INTELLIGENCE AND NATURAL-RESOURCE MANAGEMENT [J].
COULSON, RN ;
FOLSE, LJ ;
LOH, DK .
SCIENCE, 1987, 237 (4812) :262-267
[4]  
COULSON RN, 1987, ANNU REV ENTOMOL, V32, P415, DOI 10.1146/annurev.en.32.010187.002215
[5]   AI MODELING OF ANIMAL MOVEMENTS IN A HETEROGENEOUS HABITAT [J].
FOLSE, LJ ;
PACKARD, JM ;
GRANT, WE .
ECOLOGICAL MODELLING, 1989, 46 (1-2) :57-72
[6]  
SAUNDERS MC, 1991, ENCY COMPUT SCI S10, V25, P1