One of the objectives of precision agriculture is to minimize the volume of herbicides that are applied to the fields through the use of site-specific weed management systems. This paper outlines an automatic computer vision-based approach for the detection and differential spraying of weeds in corn crops. The method is designed for post-emergence herbicide applications where weeds and corn pla...

The vegetation recovery at Kaimaumau gumland was monitored in seven permanent plots from 1988 to 1999 following a large fire in 1988 in order to determine rates and patterns of vegetation recovery. A succession profile for the key vegetation types that are currently developing is suggested. Schoenus brevifolius was the first species to colonise from rhizomes after the fire, and has remained the...

Rice-duck farming system is one of the means of organic rice farming, in which the weeds, diseases and insects could be effectively controlled with minimal or no pesticide and herbicide application. Whereas in conventional rice-duck farming system the controlling effect on diseases, insect pests and weeds was slowly disappeared after the rice heading stage at which ducks were driven out of the ...

Throughout many years of studying mycopopulation of weeds, we have found fungi of the Diaporthe/ Phomopsis complex interesting to research. After years of examining plants of Achillea millefolium L., some of them exhibited symptoms of infection typical for Diaporthe/Phomopsis species. A. millefolium was usually found in uncultivated, pasture and forest flora, but also in or nearby sunflower fie...

Using robots in precision farming has the potential to reduce the reliance on herbicides and pesticides through selectively spraying individual plants or through manual weed removal. A prerequisite for that is the ability of the robot to separate and identify the value crops and the weeds on the field. Based on the output of the robot’s perception system, it can trigger the actuators for sprayi...

Weeds are a major obstacle to successful crop production in organic farming. Producers may be able to reduce inputs for weed management by designing rotations to disrupt population dynamics of weeds. Population-based management in conventional farming has reduced herbicide use by 50% because weed density declines in cropland across time. In this paper, we suggest a 9-year rotation comprised of ...

The main requisite for weeding-thinning machine is the location of the main stem of the crop. In this study, crops and their positions were detected using image processing techniques with the aid of artificial neural networks. Morphological operations were performed to singulate different objects in the images. Several shape features were fed to artificial neural network to discriminate between...

Weeds are important in the ecology of field crops, and when crops are harvested, weeds often become the main hosts for plant viruses and their insect vectors. Few studies, however, have examined the relationships between plant viruses, vectors, and weeds. Here, we investigated how infection of the weed Datura stramonium L. by tomato yellow leaf curl virus (TYLCV) affects the host preference and...

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...

in order to study effects of competitive weeds (sinapis arvensis, hordeum spp., secale montanum and agrostemma githago) on morphological traits, yield and harvest index of winter rapeseed (brassica napus l.) cultivars a factorial experiment was conducted in islamic azad university of tabriz, during 2007-2008. experimental factors were weeds controlling times included weeding in rosette (5-7 lea...