Document Detail


Improved discrimination between monocotyledonous and dicotyledonous plants for weed control based on the blue-green region of ultraviolet-induced fluorescence spectra.
MedLine Citation:
PMID:  20132595     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Precision weeding by spot spraying in real time requires sensors to discriminate between weeds and crop without contact. Among the optical based solutions, the ultraviolet (UV) induced fluorescence of the plants appears as a promising alternative. In a first paper, the feasibility of discriminating between corn hybrids, monocotyledonous, and dicotyledonous weeds was demonstrated on the basis of the complete spectra. Some considerations about the different sources of fluorescence oriented the focus to the blue-green fluorescence (BGF) part, ignoring the chlorophyll fluorescence that is inherently more variable in time. This paper investigates the potential of performing weed/crop discrimination on the basis of several large spectral bands in the BGF area. A partial least squares discriminant analysis (PLS-DA) was performed on a set of 1908 spectra of corn and weed plants over 3 years and various growing conditions. The discrimination between monocotyledonous and dicotyledonous plants based on the blue-green fluorescence yielded robust models (classification error between 1.3 and 4.6% for between-year validation). On the basis of the analysis of the PLS-DA model, two large bands were chosen in the blue-green fluorescence zone (400-425 nm and 425-490 nm). A linear discriminant analysis based on the signal from these two bands also provided very robust inter-year results (classification error from 1.5% to 5.2%). The same selection process was applied to discriminate between monocotyledonous weeds and maize but yielded no robust models (up to 50% inter-year error). Further work will be required to solve this problem and provide a complete UV fluorescence based sensor for weed-maize discrimination.
Authors:
Bernard Panneton; Serge Guillaume; Jean-Michel Roger; Guy Samson
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Publication Detail:
Type:  Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Validation Studies    
Journal Detail:
Title:  Applied spectroscopy     Volume:  64     ISSN:  1943-3530     ISO Abbreviation:  Appl Spectrosc     Publication Date:  2010 Jan 
Date Detail:
Created Date:  2010-02-05     Completed Date:  2010-09-30     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0372406     Medline TA:  Appl Spectrosc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  30-6     Citation Subset:  IM    
Affiliation:
Horticultural R&D Centre, Agriculture and Agri-Food Canada, St-Jean-sur-Richelieu, QC, Canada, J3B 3E6. bernard.panneton@agr.gc.ca
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MeSH Terms
Descriptor/Qualifier:
Agriculture / instrumentation,  methods*
Amaranthus / chemistry,  radiation effects
Ambrosia / chemistry,  radiation effects
Capsella / chemistry,  radiation effects
Chenopodium album / chemistry,  radiation effects
Chlorophyll / analysis,  radiation effects
Computer Systems
Coumaric Acids / analysis,  radiation effects
Discriminant Analysis
Equipment Design
Herbicides / administration & dosage*
Image Processing, Computer-Assisted / instrumentation,  methods*
Least-Squares Analysis
Plant Leaves / chemistry,  radiation effects
Poaceae / chemistry,  radiation effects
Species Specificity
Spectrometry, Fluorescence / methods*
Ultraviolet Rays*
Zea mays / chemistry,  radiation effects*
Chemical
Reg. No./Substance:
0/Coumaric Acids; 0/Herbicides; 1135-24-6/ferulic acid; 1406-65-1/Chlorophyll; 479-61-8/chlorophyll a

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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