May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Agriculture
The following research paper is discussed in this section: DeepAnomaly: Combining Background Subtraction and Deep Learning for Detecting Obstacles and Anomalies in an Agricultural Field, P Christiansen, L Nielsen, K Steen, R Jørgensen, H Karstoft (2016), Sensors, 16(11), 1904. doi:10.3390/s16111904.
This paper highlights the visual characteristics of a farmer's crop field where obstacles, such as people, animals, and others, occur rarely. Particularly, these obstacles are of distinct appearance compared to an empty field (which is the most usual scenario). With an algorithm called DeepAnomaly, deep learning and anomaly detection are used to exploit the homogeneous characteristics of the field to perform anomaly detection.
In a ...
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