首页> 外文会议>International Conference on Information Technology Systems >Computer Vision-Based Method for Automatic Detection of Crop Rows in Potato Fields
【24h】

Computer Vision-Based Method for Automatic Detection of Crop Rows in Potato Fields

机译:基于计算机视觉田间检测土豆田作物行的方法

获取原文
获取外文期刊封面目录资料

摘要

This work presents an adaptation and validation of a method for automatic crop row detection from images captured in potato fields (Solanum tuberosum) for initial growth stages based on the micro-ROI concept. The crop row detection is a crucial aspect for autonomous guidance of agricultural vehicles and site-specific treatments application. The images were obtained using a color camera installed in the front of a tractor under perspective projection. There are some issues that can affect the quality of the images and the detection procedure, among them: uncontrolled illumination in outdoor agricultural environments, different plant densities, presence of weeds and gaps in the crop rows. The adapted approach was designed to address these adverse situations and it consists of three linked phases. The main contribution is the ability to detect straight and curved crop rows in potato crops. The performance was quantitatively compared against two existing methods, achieving acceptable results in terms of accuracy and processing time.
机译:该工作提出了一种基于微ROI概念的初始生长阶段从马铃薯田地(Solanum Tuberosum)中的图像自动作物行检测方法的适应和验证。作物行检测是农业车辆和特定现场治疗应用的自主指导的关键方面。使用安装在拖拉机前面的彩色相机在透视投影中获得图像。存在一些问题可以影响图像的质量和检测程序,其中:在户外农业环境中不受控制的照明,不同的植物密度,杂草的存在和作物行中的空隙。适应的方法旨在解决这些不利情况,它由三个联系阶段组成。主要贡献是在马铃薯作物中检测直线和弯曲作物行的能力。与两种现有方法定量比较了性能,从而在准确性和处理时间方面取得可接受的结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号