For the past three years, the Danish project, RoboWeedSupport, has sought to bridge the gap between the potential herbicide savings using a decision support system and the required weed inspections. In order to automate the weed inspections it is desired to generate a map of the weed species present within the field, to generate the map images must be captured with samples covering the field. T...

to study the critical period of weeds competition with sugar beet and determine the duration that the crop can tolerate the weeds, a field experiment was carried out at esfahan agicultural research center, in kabotarabad-esfahan during 1999-2000.  the experiment conducted in rcb design with 14 treatments and four replications. the treatments included control throughout the growth season (as a c...

abstract the critical period of weed control (cpwc) is a period in the crop growth cycle during which weeds must be controlled to prevent yield losses. in order to determine the critical period of weed control (cpwc) of corn in hamedan, an experiment was conducted in 2007 at agricultural research station of bu-ali sina university of hamedan. the experiment was carried out as a randomized comple...

Three greenhouse experiments were conducted to evaluate western corn rootworm, Diabrotica virgifera virgifera LeConte, beetle emergence from individual pots containing glyphosate-tolerant transgenic corn, Zea mays L., expressing the Cry3Bbl endotoxin from the soil bacterium Bacillus thuringiensis Berliner (MON863), nontransgenic glyphosate-tolerant isoline corn, grassy weeds (giant foxtail, Set...

Six field trials were conducted over three growing seasons to evaluate both pre-and post-emergence applications of the recently developed herbicide mesotrione, for weed control in maize. As a pre-emergence treatment it provided excellent control of broadleaf weeds (>99% reduction in dry matter) but was poor on grass weeds (ca 80% reduction). However, its combination with atrazine, s-metolachlor...

abstract recent interest in describing the spatial distribution patterns of weeds through using interpolation methods has increased to estimate weed seedling density from spatially refferenced data and evaluation of applicable to site-specific weed management. in this research, a multi layer perceptron neural network (mlpnn) model was developed to predict the spatial distribution of h. glaucum ...

Weed interference in annual cropping systems can be highly variable from year-to-year, as well as spatially heterogeneous. These factors have confounded efforts to develop simple methods for predicting competitive outcomes early in the growing season. A 2-year study was conducted with maize in competition with four annual weed species (Setaria faberi, Abutilon theophrasti, Chenopodium album and...