In this study the influence of three different tillage systems in combination with eight varying weed treatments applied within the establishment year and its effect on the final above ground leafless biomass production (after the third growing season) of short rotation coppice poplar is presented. The three tillage systems included variants with ploughing and harrowing, variants with cultivati...

The identification and classification of weeds are of major technical and economical importance in the agricultural industry. To automate these activities, like in shape, color and texture, weed control system is feasible. The goal of this paper is to build a real-time, machine vision weed control system that can detect weed locations. In order to accomplish this objective, a real-time robotic ...

Weed detection using image processing is a progressive research area which can revolutionize crop production and increase efficiency in herbicide usage. A SVM classifier was applied in our research to classify and to detect the weed type for weed scouting and spot weeding purposes. However, parameter fine tuning and feature selection for SVM is a complex procedure that is still an active area o...

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...

BACKGROUND One theoretical explanation for the relatively poor performance of Brassica rapa (weed) x Brassica napus (crop) transgenic hybrids suggests that hybridization imparts a negative genetic load. Consequently, in hybrids genetic load could overshadow any benefits of fitness enhancing transgenes and become the limiting factor in transgenic hybrid persistence. Two types of genetic load wer...

abstract to evaluate the effect of sowing date and weed interference on growth indices of red bean cultivars with different growth habit, a field experiment was carried out during the spring 2009 at university of zanjan as a factorial split plot on the basis of randomized complete block design, with three replications. main plots included factorial of three red bean cultivars (derakhshan (stand...

In modern agriculture, with more emphasis on high input systems, weed problems are likely to increase and become more complex. With heightened awareness of adverse effects of herbicide residues on human health and environment and the evolution of herbicide-resistant weed biotypes, a significant focus within weed science has now shifted to the development of eco-friendly technologies with reduce...

Weed emergence timing: a new tool for managing weeds in crop fi elds The success of integrated weed management relies on matching control strategies to the specifi c weed problem in a fi eld. Managers must know not only which weed species (and how many) are present in a fi eld; they also must understand the distribution and development stages of these weeds throughout the fi eld. Weed control r...

As a very powerful optimization algorithm, invasive weed optimization has been widely applied to continuous optimization problems in electromagnetic (EM) field. However, the optimization of a thinned array can be formulated as a discrete-variable optimization problem with solutions encoded as binary strings. Therefore, in this paper, an improved binary invasive weed optimization (IBIWO) is prop...

Weed infestations and associated yield losses require effective weed control measures in soybean and sugar beet. Besides chemical weed control, mechanical weeding plays an important role in integrated weed management systems. Field experiments were conducted at three locations for soybean in 2013 and 2014 and at four locations for sugar beet in 2014 to investigate if automatic steering technolo...