Weed Detection in Lawn Field Based on Gray-Scale Uniformity.

A Lawn Weed Detection in Winter Season Based on Color Information

In this work, we propose a lawn weed detection method based on simple and fast color image processing for the case that color of weeds and lawns are clearly different, especially in winter. The proposed detection method is evaluated with two types of simulated automatic weeding systems, i.e., chemical and non-chemical (pulse high voltage discharge) based system. For chemical based, the detectio...

Weed Detection in Agricultural Field Using Mrcsf

Weed control (Irshad Ahmad et al 2007) has a major effect on agriculture. A large amount of herbicide has been used for controlling weeds in agriculture fields, lawns, golf courses, sport fields etc. Random spraying of herbicides does not meet the exact requirement of the field. Certain areas in field have more weed patches than estimated. So, the visual system that can discriminate weeds from ...

Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank

We propose a lawn weed detection method modified from our previous work, i.e., Bayesian classifier based method. The proposed method employs features calculated from not only the edge-strength of weed/lawn textures but also color information of RGB. Instead of using Bayesian classifier, we exploit more sophisticated classifier, i.e., supportvector machine, for detecting weeds. After weed detect...

Gray-scale hough transform for thick line detection in gray-scale images

Weed Detection Based on the Optimized Segmentation Line of Crop and Weed

Weed detection is a key problem of spot spraying that could reduce the herbicide usage. Spectral information of plants is very useful to detect weeds in real-time for the fast response time. However, the cost of an imaging spectrograph-based weed detection system is too high. Therefore, the main objective of this study was to explore a method to classify crop and weed plants using the spectral ...