用无人机实现智能农业和可持续农业

P. Tripicchio, Massimo Satler, Giacomo Dabisias, E. Ruffaldi, C. Avizzano
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引用次数: 207

摘要

无人机在农业上的应用越来越受欢迎。本文提出了一种利用RGB-D传感器来区分不同耕地耕作技术的新方法。所提出的系统可以很容易地集成到商用无人机(uav)中。为了成功地对耕作技术进行分类,开发了两种不同的测量算法。实验结果表明,所提出的方法能够很好地对耕地深度进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Smart Farming and Sustainable Agriculture with Drones
The use of drones in agriculture is becoming more and more popular. The paper presents a novel approach to distinguish between different field's plowing techniques by means of an RGB-D sensor. The presented system can be easily integrated in commercially available Unmanned Aerial Vehicles (UAVs). In order to successfully classify the plowing techniques, two different measurement algorithms have been developed. Experimental tests show that the proposed methodology is able to provide a good classification of the field's plowing depths.
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