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Aerial imagery or on-ground detection? An economic analysis for vineyard crops

机译:空中图像或地面检测? 葡萄园作物的经济学分析

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Aerial and on-ground vegetation characterization technologies are continuously evolving. An experiment was conducted in a vineyard field in order to test the economic feasibility of applying fertilizers site specifically based on different mapping systems. The capacity of UAV missions and on-ground systems has been compared using depth cameras or LiDAR systems respectively in order to provide the necessary vineyard volume maps for specific applications like fertilization. Aerial imagery was obtained using a UAV equipped with a high-resolution RGB camera, and a digital surface model was reconstructed using photogrammetry procedures. On-ground crop reconstruction was performed using LiDAR-based measurements taken with an RTK-GNSS along the crop rows. Furthermore, a Kinect v2 sensor was also used as a low cost depth camera. All systems were tested in a commercial field, under sunlight conditions. Every technique provided a 3D dense point cloud from which volume was calculated. The results showed that volume values were always consistent and similar between the studied systems. The on-ground techniques provided the best details of the plants. However, the cost of acquisition was always higher than that of aerial imagery. Concerning the fertiliser application it should be noted that, the changes in shape and size of plants obtained within the vineyard indicate that continuous adjustment of the applied dose would be required to optimize the performed application. When using site-specific spraying based on the created maps, the dose was reduced by up to 80% of the total dosage used with a conventional application. A detailed analysis of savings indicates differences between the systems. The use of aerial imagery techniques resulted in positive net returns, whereas the on-ground technologies needed a faster time of acquisition in order of them to be profitable. Regarding efficacy, no significant differences between applications based on the constructed maps were found. This important reduction in fertilizer application could be followed by an equivalent reduction in plant protection products (e.g., fungicides). Thus, the use of some 3D characterization technologies has shown to be profitable at the current stage of development while also reducing the inputs and the environmental impact of agricultural tasks.
机译:天线和地面植被表征技术不断发展。在葡萄园领域进行了实验,以测试应用肥料网站的经济可行性,具体基于不同的映射系统。使用深度摄像机或激光雷达系统进行了比较了UAV任务和地面系统的能力,以便为施肥等特定应用提供必要的葡萄园体积图。使用配备有高分辨率RGB相机的无人机获得空中图像,并使用摄影测量程序重建数字表面模型。使用沿着作物行的RTK-GNSS拍摄的基于LIDAR的测量来进行地面作物重建。此外,Kinect V2传感器也用作低成本深度相机。在阳光条件下,所有系统都在商业领域进行了测试。每个技术都提供了一种从计算体积的3D密集点云。结果表明,研究体积值始终是一致的,并且在研究的系统之间始终如一。在地面技术提供了植物的最佳细节。然而,收购成本总是高于空中图像的成本。关于肥料应用,应该注意的是,葡萄园内获得的植物的形状和尺寸的变化表明,需要对所施用剂量的连续调节进行优化进行所进行的应用。使用基于所产生的地图使用特异性喷雾剂时,剂量可降低80%的常规应用的总用量的80%。对节省的详细分析表明系统之间的差异。使用空中图像技术导致正净返回,而在地面技术需要更快的收购时间,以便他们有利可图。关于功效,发现基于构造地图的应用程序之间没有显着差异。这种肥料应用的重要减少可以随后是植物保护产品(例如杀真菌剂)的等效减少。因此,使用某些3D表征技术在目前的发展阶段已经有利可图,同时还降低了农业任务的投入和环境影响。

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