Patrick, B. and Kanjo, E. ORCID: 0000-0002-1720-0661, 2023. The impact and challenges of livestock tracking in internetless environments with tiny ML. Nottingham: Nottingham Trent University.
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Abstract
The use of technology within the area of Farming is becoming a more widely discussed area usually referred to as Smart Farming. As more technologies are being introduced into the area and more proposals are made, the area of smart farming is allowing farmers to increase their overall yield. The use of tinyML could bring real benefits to smart farming, specifically within Livestock tracking and monitoring. The concept of processing data in real-time on devices makes sense within this area, as the communication is naturally limited. This is because outside the range of Wi-Fi our devices rely on cellular masts that are provided by telecommunications companies. Telecommunication companies will normally conclude that masts in urban areas such as a town or city are more valuable to them as a company, as they are more likely bring in new customers and clients. While in rural areas they may conclude a mast is unlikely to bring in barely any new clients. From a business perspective, this makes complete sense as there would less use of the mast to justify the upkeep and maintenance of it. This leaves rural areas with either limited or no internet access across large areas of land and due to this, farms that could benefit from new and upcoming technology could be missing out. There are several benefits that tinyML could bring to farming, especially in the area of livestock monitoring. Benefits such as animal behavioral analysis, fall and accident detection, abnormal temperature detection and other potential anomalies within animals.
Item Type: | Working paper | ||||
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Creators: | Patrick, B. and Kanjo, E. | ||||
Publisher: | Nottingham Trent University | ||||
Place of Publication: | Nottingham | ||||
Date: | 1 June 2023 | ||||
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Divisions: | Schools > School of Science and Technology | ||||
Record created by: | Jonathan Gallacher | ||||
Date Added: | 29 Aug 2023 14:24 | ||||
Last Modified: | 29 Aug 2023 14:31 | ||||
URI: | https://irep.ntu.ac.uk/id/eprint/49621 |
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