On-the-Fly Olive Tree Counting Using a UAS and Cloud Services
AbstractUnmanned aerial systems (UAS) are becoming a common tool for aerial sensing applications. Nevertheless, sensed data need further processing before becoming useful information. This processing requires large computing power and time before delivery. In this paper, we present a parallel architecture that includes an unmanned aerial vehicle (UAV), a small embedded computer on board, a communication link to the Internet, and a cloud service with the aim to provide useful real-time information directly to the end-users. The potential of parallelism as a solution in remote sensing has not been addressed for a distributed architecture that includes the UAV processors. The architecture is demonstrated for a specific problem: the counting of olive trees in a crop field where the trees are regularly spaced from each other. During the flight, the embedded computer is able to process individual images on board the UAV and provide the total count. The tree counting algorithm obtains an
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Salamí, E.; Gallardo, A.; Skorobogatov, G.; Barrado, C. On-the-Fly Olive Tree Counting Using a UAS and Cloud Services. Remote Sens. 2019, 11, 316.
Salamí E, Gallardo A, Skorobogatov G, Barrado C. On-the-Fly Olive Tree Counting Using a UAS and Cloud Services. Remote Sensing. 2019; 11(3):316.Chicago/Turabian Style
Salamí, Esther; Gallardo, Antonia; Skorobogatov, Georgy; Barrado, Cristina. 2019. "On-the-Fly Olive Tree Counting Using a UAS and Cloud Services." Remote Sens. 11, no. 3: 316.
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