CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring
Dairy is an economically significant industry that caters to the huge demand for food products in people's lives. To remain profitable, farmers need to manage their farms and the health of the dairy cows in their herds. There are, however, many risks to cow health that can lead to significant c...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-10-01
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| Series: | Frontiers in Artificial Intelligence |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1209507/full |
| _version_ | 1797666504556150784 |
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| author | Arjun Pakrashi Arjun Pakrashi Arjun Pakrashi Duncan Wallace Duncan Wallace Duncan Wallace Brian Mac Namee Brian Mac Namee Brian Mac Namee Derek Greene Derek Greene Derek Greene Christophe Guéret |
| author_facet | Arjun Pakrashi Arjun Pakrashi Arjun Pakrashi Duncan Wallace Duncan Wallace Duncan Wallace Brian Mac Namee Brian Mac Namee Brian Mac Namee Derek Greene Derek Greene Derek Greene Christophe Guéret |
| author_sort | Arjun Pakrashi |
| collection | DOAJ |
| description | Dairy is an economically significant industry that caters to the huge demand for food products in people's lives. To remain profitable, farmers need to manage their farms and the health of the dairy cows in their herds. There are, however, many risks to cow health that can lead to significant challenges to dairy farm management and have the potential to lead to significant losses. Such risks include cow udder infections (i.e., mastitis) and cow lameness. As automation and data recording become more common in the agricultural sector, dairy farms are generating increasing amounts of data. Recently, these data are being used to generate insights into farm and cow health, where the objective is to help farmers manage the health and welfare of dairy cows and reduce losses from cow health issues. Despite the level of data generation on dairy farms, this information is often difficult to access due to a lack of a single, central organization to collect data from individual farms. The prospect of such an organization, however, raises questions about data ownership, with some farmers reluctant to share their farm data for privacy reasons. In this study, we describe a new data mesh architecture designed for the dairy industry that focuses on facilitating access to data from farms in a decentralized fashion. This has the benefit of keeping the ownership of data with dairy farmers while bringing data together by providing a common and uniform set of protocols. Furthermore, this architecture will allow secure access to the data by research groups and product development groups, who can plug in new projects and applications built across the data. No similar framework currently exists in the dairy industry, and such a data mesh can help industry stakeholders by bringing the dairy farms of a country together in a decentralized fashion. This not only helps farmers, dairy researchers, and product builders but also facilitates an overview of all dairy farms which can help governments to decide on regulations to improve the dairy industry at a national level. |
| first_indexed | 2024-03-11T19:59:23Z |
| format | Article |
| id | doaj.art-4c86ab82dfbb471ea2f9c9323a72f8eb |
| institution | Directory Open Access Journal |
| issn | 2624-8212 |
| language | English |
| last_indexed | 2024-03-11T19:59:23Z |
| publishDate | 2023-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj.art-4c86ab82dfbb471ea2f9c9323a72f8eb2023-10-04T09:39:59ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122023-10-01610.3389/frai.2023.12095071209507CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoringArjun Pakrashi0Arjun Pakrashi1Arjun Pakrashi2Duncan Wallace3Duncan Wallace4Duncan Wallace5Brian Mac Namee6Brian Mac Namee7Brian Mac Namee8Derek Greene9Derek Greene10Derek Greene11Christophe Guéret12School of Computer Science, University College Dublin, Dublin, IrelandInsight Centre for Data Analytics, Dublin, IrelandVistaMilk SFI Research Centre, Teagasc Moorepark, Fermoy, IrelandSchool of Computer Science, University College Dublin, Dublin, IrelandInsight Centre for Data Analytics, Dublin, IrelandVistaMilk SFI Research Centre, Teagasc Moorepark, Fermoy, IrelandSchool of Computer Science, University College Dublin, Dublin, IrelandInsight Centre for Data Analytics, Dublin, IrelandVistaMilk SFI Research Centre, Teagasc Moorepark, Fermoy, IrelandSchool of Computer Science, University College Dublin, Dublin, IrelandInsight Centre for Data Analytics, Dublin, IrelandVistaMilk SFI Research Centre, Teagasc Moorepark, Fermoy, IrelandAccenture Labs, Dublin, IrelandDairy is an economically significant industry that caters to the huge demand for food products in people's lives. To remain profitable, farmers need to manage their farms and the health of the dairy cows in their herds. There are, however, many risks to cow health that can lead to significant challenges to dairy farm management and have the potential to lead to significant losses. Such risks include cow udder infections (i.e., mastitis) and cow lameness. As automation and data recording become more common in the agricultural sector, dairy farms are generating increasing amounts of data. Recently, these data are being used to generate insights into farm and cow health, where the objective is to help farmers manage the health and welfare of dairy cows and reduce losses from cow health issues. Despite the level of data generation on dairy farms, this information is often difficult to access due to a lack of a single, central organization to collect data from individual farms. The prospect of such an organization, however, raises questions about data ownership, with some farmers reluctant to share their farm data for privacy reasons. In this study, we describe a new data mesh architecture designed for the dairy industry that focuses on facilitating access to data from farms in a decentralized fashion. This has the benefit of keeping the ownership of data with dairy farmers while bringing data together by providing a common and uniform set of protocols. Furthermore, this architecture will allow secure access to the data by research groups and product development groups, who can plug in new projects and applications built across the data. No similar framework currently exists in the dairy industry, and such a data mesh can help industry stakeholders by bringing the dairy farms of a country together in a decentralized fashion. This not only helps farmers, dairy researchers, and product builders but also facilitates an overview of all dairy farms which can help governments to decide on regulations to improve the dairy industry at a national level.https://www.frontiersin.org/articles/10.3389/frai.2023.1209507/fulldata meshdata fabricdigital agriculturedairy industrydecentralized data |
| spellingShingle | Arjun Pakrashi Arjun Pakrashi Arjun Pakrashi Duncan Wallace Duncan Wallace Duncan Wallace Brian Mac Namee Brian Mac Namee Brian Mac Namee Derek Greene Derek Greene Derek Greene Christophe Guéret CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring Frontiers in Artificial Intelligence data mesh data fabric digital agriculture dairy industry decentralized data |
| title | CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring |
| title_full | CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring |
| title_fullStr | CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring |
| title_full_unstemmed | CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring |
| title_short | CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring |
| title_sort | cowmesh a data mesh architecture to unify dairy industry data for prediction and monitoring |
| topic | data mesh data fabric digital agriculture dairy industry decentralized data |
| url | https://www.frontiersin.org/articles/10.3389/frai.2023.1209507/full |
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