• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Biosystems Engineering >A real-time, embedded, weed-detection system for use in wheat fields
【24h】

A real-time, embedded, weed-detection system for use in wheat fields

机译：用于麦田的实时嵌入式杂草检测系统

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Two optical weed sensors and their control modules (a central-control module, a global positioning system unit, and a spray-control module) were successfully integrated into a real-time, embedded system. The system components were networked using a controller area network. The system was tested extensively in two wheat fields. With good training, the system generally reached weed-detection accuracies greater than 70%. The addition of a light-blocking screen and artificial lights facilitated use of the system at night or under variable light conditions. Classification models trained with multiple weed species improved classification accuracy. Classification accuracy was also affected by the position of the sensor relative to the targets during training.
机译：两个光学杂草传感器及其控制模块（中央控制模块，全球定位系统单元和喷雾控制模块）已成功集成到实时嵌入式系统中。使用控制器局域网将系统组件联网。该系统在两个麦田中进行了广泛的测试。通过良好的培训，该系统通常可以达到70％以上的杂草检测精度。遮光屏和人造光的添加有助于在夜间或在变化的光照条件下使用该系统。用多种杂草物种训练的分类模型提高了分类准确性。分类准确性也受训练期间传感器相对于目标的位置的影响。

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