18 research outputs found
Predição de sucesso durante desmame da ventilação mecĂąnica : resultados preliminares de um estudo multicĂȘntrico
Discriminação entre estågios nutricionais na cultura do trigo com técnicas de visão artificial e medidor portåtil de clorofila
Effect of salt stress on the growth of Lippia gracilis Schauer and on the quality of its essential oil
Weed mapping using a machine vision system
Weed mapping is a useful tool for site-specific herbicide applications. The objectives of this study were (1) to determine the percentage of land area covered by weeds in no-till and conventionally tilled fields of common bean using digital image processing and geostatistics, and (2) to compare two types of cameras. Two digital cameras (color and infrared) and a differential GPS were affixed to a center pivot structure for image acquisition. Sample field images were acquired in a regular grid pattern, and the images were processed to estimate the percentage of weed cover. After calculating the georeferenced weed percentage values, maps were constructed using geostatistical techniques. Based on the results, color images are recommended for mapping the percentage of weed cover in no-till systems, while infrared images are recommended for weed mapping in conventional tillage systems