基于无人机图像的农业精度算法评价

2019 International Conference of Computer Science and Renewable Energies (ICCSRE) Pub Date : 2019-07-01 DOI:10.1109/ICCSRE.2019.8807604

R. Latif, A. Saddik, A. Elouardi

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引用次数: 8

摘要

农业土壤监测已成为保证土壤质量的必要条件。为此，人们研究了几个参数来解决农业中的问题。另一方面，我们发现这种监测的几个工具，通常最知名的是基于无人机。在本文中，我们将重点评估两个最知名的参数:归一化植被指数(NDVI)和归一化水指数(NDWI)。这些参数的评估是在基于两个cpu和一个GPU的异构嵌入式ODROID-XU4架构中完成的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Evaluation of Agricultural Precision Algorithms on UAV Images

The monitoring of agricultural soils has become a necessary need for good soil quality. For this reason several parameters have been studied to solve problems in agriculture. On the other hand we find several tools for this monitoring, generally the most known are based on UAVs. In this article we will focus on evaluating the two most known parameters the Normalized Difference Vegetation Index (NDVI) and the Normalized Difference Water Index (NDWI). The evaluation of these parameters was done in a heterogeneous embedded ODROID-XU4 architecture based on two CPUs and a GPU.

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来源期刊

2019 International Conference of Computer Science and Renewable Energies (ICCSRE)

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