Gathering Good Corn from the Weeds

Using Artificial Neural Networks for Discrimination the Corn Plants from the Weeds

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...

Relative emergence sequence for weeds of corn and soybeans

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...

Evaluation of Ostrinia nubilalis (Lepidoptera: Crambidae) neonate preferences for corn and weeds in corn.

Choice tests were conducted to determine feeding preferences of European corn borer, Ostrinia nubilalis (Hübner) (Lepidoptera: Crambidae), neonates for 15 species of plants. Percentage of neonates accepting (found on) each leaf disc after 24 h was measured using choice tests. Initially, nine species of plants were evaluated. The following year, 10 plant species were evaluated during O. nubilali...

Weeds [from Encyclopedia of the Great Plains]

investigation of corn/cowpea intercropping effect on suppresing the weeds

in order to study the weeds frequency and dry matter in corn and cowpea sole cropping and intercropping systems, an experiment using replacement and additive techniques was conducted using different combination of intercropping in seven levels with ratio of 1:1 (50% corn + 50% cowpea), 1:2 (33% + 67%), 2:1 (67% + 33%), (100% + 20%), (100% + 10%), 100% corn and 100% cowpea, two levels optimal an...