In low-input land-use systems combining timber trees with shade-tolerant understorey crops, it is essential to establish the effects of tree density upon weeds and the contribution of weeds to competition and nutrient cycling. Adjusting tree density may alter weed competition for light, water and nutrients, the storage of nutrients by weeds through growth and the release of nutrients via decomp...

Exotic invasive plants present one of the greatest challenges to natural resource management. These weeds can alter entire communities and ecosystems, substantially degrading important ecosystem services such as forage for wild and domestic herbivores, water and soil quality, recreational values, and wildlife habitat. Traditionally, weed management in natural areas has focused on removing the t...

INTRODUCTION The Autonomous Platform and Information system (API, DIAS, Denmark) was used as tool for comparing two successful weed detection algorithms: the shape based weed recognition based on colour imaging developed at DIAS, Denmark, and the spectral weed detection system developed at the KULeuven, Belgium.

Soybean growers have adopted herbicide tolerant varieties at a rapid rate. While some potential cost savings may have driven adoption, the primary reason growers are switching to new programs is the simplicity and flexibility of a weed control program that relies on one herbicide to control a broad spectrum of weeds without crop injury or crop rotation restrictions. Roundup Ready weed control p...

use of atrazine in the Midwest would have important economic consequences for farmers, consumers, and the environment. These consequences can only be evaluated with cooperation between economists and weed scientists. The weed control choice set available to farmers cannot be observed through deductive research. Economists and weed scientists worked together to identify all possible weed control...

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...

A novel now commonly used device in many countries called a "weed-wacker" is a mechanical rotating device with a cord used to trim lawns and grass. A case of a 14-year old boy with a false aneurysm of the brachial artery is presented; he sustained a missile injury by a piece of rusty steel projected by use of a weed wacker. Missile injuries by nail guns and bullets have been documented in the l...

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...