Augmented reality systems for weed economic thresholds applications

Planta Daninha

Vidal, N.R.¹  Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil¹  Vidal, R.A.¹  University of Western Ontario, London, Canada¹ 

关键词: augmented reality;    weed economic thresholds;    software;    neural algorithms;    image recognition.;   

DOI  :  10.1590/S0100-83582010000200025

学科分类：农业科学（综合）

来源: Sociedade Brasileira da Ciencia das Plantas Daninhas (S B C P D) / Brazilian Society of Herb Science

【 摘 要 】

The augmented reality (AR) technology has applications in many fields as diverse as aeronautics, tourism, medicine, and education. In this review are summarized the current status of AR and it is proposed a new application of it in weed science. The basic algorithmic elements for AR implementation are already available to develop applications in the area of weed economic thresholds. These include algorithms for image recognition to identify and quantify weeds by species and software for herbicide selection based on weed density. Likewise, all hardware necessary for AR implementation in weed science are available at an affordable price for the user. Thus, the authors propose weed science can take a leading role integrating AR systems into weed economic thresholds software, thus, providing better opportunities for science and computer-based weed control decisions.

【 授权许可】

Unknown