Solution for remote real-time visual expertise of agricultural objects
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Kuupäev
2018
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In recent years automated image and video analyses of plants and animals have become
important techniques in Pre
cision Agriculture for the detection of anomalies in development.
Unlikely, machine learning (i.e., artificial neural networks, support vector machine, and other
relevant techniques) are not always able to support decision making. Nevertheless, experts can
use these techniques for developing more precise solutions and analysis approaches. It is labour
-
intensive and time
-
consuming for the experts to continuously visit the production sites to make
direct on
-
site observations. Therefore, videos from the site n
eed to be made available for remote
viewing and analysis. In some cases it is also essential to monitor different parts of objects in
agriculture and animal farming (e.g., bottom of the plants, stomach of the animal, etc.) which are
difficult to access in
standard recording procedures. One possible solution for the farmer is the
use of a portable camera with real
-
streaming option r
ather than a stationary camera.
The aim of this paper is the proposition of a solution for real
-
time video streaming of
agricultural
objects (plants and/or animals) for remote expert evaluation and diagnosis. The proposed system
is based on a Raspberry Pi 3, which is used to transfer the video from the attached camera to the
YouTube streaming service. Users will be able to
watch the video stream from the YouTube
service on any device that has a web browser. Several cameras (USB, and Raspberry Pi camera)
and video resolutions (from 480p till 1
,
080p) are compared and analysed, to find the best option,
taking into account video
quality, frame rates, and latency. Energy consumption of the whole
system is evaluated and for the chosen solution it is 645
mA.
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Märksõnad
precision agriculture, video streaming, visual observations, articles