Agricultural Knowledge Management Using Smart Voice Messaging Systems:
Combination of Physical and Human Sensors
- URL: http://arxiv.org/abs/2008.03711v1
- Date: Sun, 9 Aug 2020 11:46:03 GMT
- Title: Agricultural Knowledge Management Using Smart Voice Messaging Systems:
Combination of Physical and Human Sensors
- Authors: Naoshi Uchihira and Masami Yoshida
- Abstract summary: We propose a combination of physical and human sensors (the five human senses) in an agricultural knowledge management system.
By using their own eyes, ears, noses, tongues, and fingers, farmers could check the various changes in the characteristics and conditions of their crops.
The data captured by the physical and human sensors (voice messages) are analyzed by data and text mining to create and improve agricultural knowledge.
- Score: 0.0
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: The use of the Internet of Things (IoT) in agricultural knowledge management
systems is one of the most promising approaches to increasing the efficiency of
agriculture. However, the existing physical sensors in agriculture are limited
for monitoring various changes in the characteristics of crops and may be
expensive for the average farmer. We propose a combination of physical and
human sensors (the five human senses). By using their own eyes, ears, noses,
tongues, and fingers, farmers could check the various changes in the
characteristics and conditions (colors of leaves, diseases, pests, faulty or
malfunctioning equipment) of their crops and equipment, verbally describe their
observations, and capture the descriptions with audio recording devices, such
as smartphones. The voice recordings could be transcribed into text by web
servers. The data captured by the physical and human sensors (voice messages)
are analyzed by data and text mining to create and improve agricultural
knowledge. An agricultural knowledge management system using physical and human
sensors encourages to share and transfer knowledge among farmers for the
purpose of improving the efficiency and productivity of agriculture. We applied
one such agricultural knowledge management system (smart voice messaging
system) to a greenhouse vegetable farm in Hokkaido. A qualitative analysis of
accumulated voice messages and an interview with the farmer demonstrated the
effectiveness of this system. The contributions of this study include a new and
practical approach to an "agricultural Internet of Everything (IoE)" and
evidence of its effectiveness as a result of our trial experiment at a real
vegetable farm.
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