A computer vision approach for weeds identification through Support Vector Machines
Open Access
- 31 January 2011
- journal article
- Published by Elsevier BV in Applied Soft Computing
- Vol. 11 (1), 908-915
- https://doi.org/10.1016/j.asoc.2010.01.011
Abstract
No abstract availableKeywords
This publication has 20 references indexed in Scilit:
- Practical experiences with a system for site‐specific weed control in arable crops using real‐time image analysis and GPS‐controlled patch sprayingWeed Research, 2006
- Large-scale investigation of weed seed identification by machine visionComputers and Electronics in Agriculture, 2005
- A Review on Remote Sensing of Weeds in AgriculturePrecision Agriculture, 2004
- Spatial stability of Avena sterilis ssp. ludoviciana populations under annual applications of low rates of imazamethabenzWeed Research, 2004
- Weed and crop discrimination using image analysis and artificial intelligence methodsComputers and Electronics in Agriculture, 2003
- Segmentation of row crop plants from weeds using colour and morphologyComputers and Electronics in Agriculture, 2003
- Determination of crop rows by image analysis without segmentationComputers and Electronics in Agriculture, 2003
- Development of an Image Processing System and a Fuzzy Algorithm for Site-Specific Herbicide ApplicationsPrecision Agriculture, 2003
- An Agricultural Mobile Robot with Vision-Based Perception for Mechanical Weed ControlAutonomous Robots, 2002
- Colour and shape analysis techniques for weed detection in cereal fieldsComputers and Electronics in Agriculture, 2000