An experimental machine vision-based patch-sprayer was developed. This sprayer was primarily designed to do real-time weed density estimation and variable herbicide application rate control. However, the sprayer also had the capability to do high-resolution weed mapping if proper mapping techniques being integrated. Two weed mapping methods were developed. One is GPS signal-based off-line weed ...

Information on weed distribution within the field is necessary to implement spatially variable herbicide application. Since hand labor is costly, an automated weed control system could be feasible. This paper deals with the development of an algorithm for real time specific weed recognition system based on Histogram Analysis of an image that is used for the weed classification. This algorithm i...

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...

Objective: Field experiment was conducted in 2009 to investigate the effects of plant density and weed interference on morphological characteristics and yield of corn (Zea Mays, L.) at Research Station of University of Tabriz, Tabriz, Iran. Methods: The experiment was arranged as split plot based on randomized complete block design with three replications. Plant density (D1, D2, D3 and D4: 5, 7...

Objective: Field experiment was conducted in 2009 to investigate the effects of plant density and weed interference on morphological characteristics and yield of corn (Zea Mays, L.) at Research Station of University of Tabriz, Tabriz, Iran. Methods: The experiment was arranged as split plot based on randomized complete block design with three replications. Plant density (D1, D2, D3 and D4: 5, 7...

Information on weed distribution within the field is necessary to implement spatially variable herbicide application. Since hand labor is costly, an automated weed control system could be feasible. This paper deals with the development of an algorithm for real time specific weed recognition system based on Histogram Maxima with threshold of an image that is used for the weed classification. Thi...

Weed pressure in 1995 was incredible! What happened to produce such a glorious crop of weeds? The answer: drought! The Drought of 1995 and Weeds and Weed Control in 1996 Weed pressure in 1995 was, in a word, incredible! I toured many areas — golf courses, lawns, athletic fields, and institutional grounds — that were solid crabgrass, knotweed, clover, etc. In many of these areas, if there weren’...

This paper presents an evolutionary synthesis of feature extraction programs for object recognition. The evolutionary synthesis method employed is based on linear genetic programming which is combined with redundancy-removed recombination. The evolutionary synthesis can automatically construct feature extraction programs for a given object recognition problem, without any domain-specific knowle...