Plant identification for medical professionals:A computerized solution

1996 ◽  
Vol 15 (2) ◽  
pp. 124-130 ◽  
Author(s):  
Elizabeth A. Dauncey ◽  
Christine J. Leon
Keyword(s):  
Author(s):  
I.M. Ritchie ◽  
C.C. Boswell ◽  
A.M. Badland

HERBACE DISSECTION is the process in which samples of herbage cut from trials are separated by hand into component species. Heavy reliance is placed on herbage dissection as an analytical tool ,in New Zealand, and in the four botanical analysis laboratories in the Research Division of the Ministry of Agriculture and Fisheries about 20 000 samples are analysed each year. In the laboratory a representative subsample is taken by a rigorous quartering procedure until approximately 400 pieces of herbage remain. Each leaf fragment is then identified to species level or groups of these as appropriate. The fractions are then dried and the composition calculated on a percentage dry weight basis. The accuracy of the analyses of these laboratories has been monitored by a system of interchanging herbage dissection samples between them. From this, the need to separate subsampling errors from problems of plant identification was, appreciated and some of this work is described here.


Author(s):  
Pierre Bonnet ◽  
Alexis Joly ◽  
Jean‐Michel Faton ◽  
Susan Brown ◽  
David Kimiti ◽  
...  

Author(s):  
Pierre Bonnet ◽  
Alexis Joly ◽  
Jean‐Michel Faton ◽  
Susan Brown ◽  
David Kimiti ◽  
...  

1999 ◽  
Vol 29 (9) ◽  
pp. 1301-1310 ◽  
Author(s):  
Wojciech Borkowski

An application of fractal dimensions as measures of leaf complexity to morphometric studies and automated plant identification is presented. Detailed algorithms for the calculation of compass dimension and averaged mass dimension together with a simple method of grasping the scale range related variability are given. An analysis of complexity of more than 300 leaves from 10 tree species is reported. Several classical biometric descriptors as well as 16 fractal dimension features were computed on digitized leaf silhouettes. It is demonstrated that properly defined fractal dimension based features may be used to discriminate between species with more than 90% accuracy, especially when used together with other measures. It seems, therefore, that they can be utilized in computer identification systems and for purely taxonomical purposes.


2014 ◽  
pp. 160-170 ◽  
Author(s):  
D. J. Harris ◽  
S. Bridgewater ◽  
J.-M. Moutsamboté

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