Feasibility of a real-time weed detection system using spectral reflectance

J. Bossu; Ch. GÃ©e; J.P. Guillemin; F. Truchetet

Feasibility of a real-time weed detection system using spectral reflectance

äºPrecision Agriculture â05

èèï¼

J. Bossu

J. Bossu ¹UMR ENESAD/Cemagref âCapteurs et ProcÃ©dÃ©s pour lâAgriculture de PrÃ©cisionâ, 21 Bld Olivier de Serres F-21800 Quetigny, FR

Search for other papers by J. Bossu in
Current site
Google Scholar
PubMed

Ch. GÃ©e

Ch. GÃ©e ¹UMR ENESAD/Cemagref âCapteurs et ProcÃ©dÃ©s pour lâAgriculture de PrÃ©cisionâ, 21 Bld Olivier de Serres F-21800 Quetigny, FR
c.gee@enesad.fr

Search for other papers by Ch. GÃ©e in
Current site
Google Scholar
PubMed

J.P. Guillemin

J.P. Guillemin ²UMR Enesad/INRA âBiologie et Gestion des Adventicesâ, 21 Bld Olivier de Serres F-21800 Quetigny, FR

Search for other papers by J.P. Guillemin in
Current site
Google Scholar
PubMed

, and

F. Truchetet

F. Truchetet ³LE2I IUT Le Creusot, 12 rue de la Fonderie F-71200 Le Creusot, FR

Search for other papers by F. Truchetet in
Current site
Google Scholar
PubMed

ç±»å:: ç« è

Page Range:: 123â130

DOI:: https://doi.org/10.3920/978-90-8686-549-9_015

Purchase instant access (PDF download and unlimited online access):

â¬42.00â¬35.00Â excl. VAT

Add to Cart

æ¾åè®¿é®ä»¤ç

For site specific herbicide spraying, the feasibility of a real-time weed detection system using spectral reflectance was studied. Using a spectrometer (spectral range : 400-1100nm, optical resolution : 7nm) as a diagnostic tool, leaf reflectance experiments were carried out either in the field or in the lab, under a controlled halogen-tungsten light source. Four local weeds have been studied : 1) creeping thistle (Cirsium arvense (L.) Scopoli), 2) common field speedwell (Veronica persica L.), 3) charlock (Siniapis arvensis L.), 4) wild-oat (Avena fatua L.), the only monocotyledon.

Using artificial neural networks (ANN) as supervised classification methods, we discriminated weeds from their reflectance. First, classification has been applied for discriminating vegetal groups : monocotyledons and dicotyledons. Then, a more precise classification, based on weed species, has been investigated based on a multi-layer perceptron (MLP). The classification results are presented and the choice of these classification models is discussed. The field results indicated that weed reflectance is not reliable for managing weed detection in real time. We are presently considering the use of geometric information provided by a CCD camera to improve the classification performance.

å¼ç¨ä¿¡æ¯

Save
Cite
Email this content

Share Link

Copy this link, or click below to email it to a friend
Email this content
or copy the link directly:

https://brill.edhh.ma/abstract/book/9789086865499/BP000015.xml
The link was not copied. Your current browser may not support copying via this button.

Link copied successfully

Precision Agriculture â05

ISBN:: 9789086865499

åºçç¤¾:: Wageningen Academic

å°å·åºçæ¥æ:: 24 Oct 2005

Subjects
- Life Sciences
  - General
  - Agriculture & Environment

ç»è®¡æ°æ®

	å¨é¨æé´	è¿å»ä¸å¹´	è¿å»30å¤©
æè¦æµè§æ¬¡æ°	97	43	15
å¨ææµè§æ¬¡æ°	1	1	0
PDFä¸è½½æ¬¡æ°	2	1	0

African Studies	Education	Media Studies
American Studies	History	Middle East and Islamic Studies
Ancient Near East and Egypt	Human Rights and Humanitarian Law	Musicology
Art History	International Law	Philosophy
Asian Studies	International Relations	Religious Studies
Biblical Studies	Jewish Studies	Slavic and Eurasian Studies
Biology	Languages and Linguistics	Social Sciences
Book History and Cartography	Life Sciences	Theology and World Christianity
Classical Studies	Literature and Cultural Studies

Subjects

AppBar-Authors 2025

AppBar-Open Access 2025

AppBar-Product Information 2025

AppBar-Company 2025

AppBar-Contact 2025

Feasibility of a real-time weed detection system using spectral reflectance

å¼ç¨ä¿¡æ¯

Share Link

Precision Agriculture â05

ç®å½

ç»è®¡æ°æ®

ç»è®¡æ°æ®

å¼ç¨ä¿¡æ¯

Precision Agriculture â05

ç»è®¡æ°æ®