FarmDain, a Decision Support System for Dairy Sheep and Goat Production

Author:

Louta Malamati1,Karagiannis Panagiotis1,Papanikolopoulou Vasiliki2,Vouraki Sotiria2ORCID,Tsipis Evangelos1,Priskas Stergios2,Koutouzidou Georgia3ORCID,Theodoridis Alexandros4ORCID,Dimitriou Socratis5,Arsenos Georgios2ORCID

Affiliation:

1. Telecommunication Networks and Advanced Services Laboratory, Department of Electrical and Computer Engineering, Faculty of Engineering, University of Western Macedonia, 50100 Kozani, Greece

2. Laboratory of Animal Husbandry, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece

3. Department of Agriculture, School of Agricultural Sciences, University of Western Macedonia, 53100 Florina, Greece

4. Laboratory of Livestock Production Economics, School of Veterinary Medicine, Faculty of Health Sciences, Aristotle University, 54124 Thessaloniki, Greece

5. Achilleas Socratis P.C., 1st Km. Amyntaio-Florina Rd., 53200 Amyntaio, Greece

Abstract

Managing a milk zone in the dairy industry is demanding. Data necessary for efficient management are difficult to acquire because they usually must be collected in organized and standardized ways. On the other hand, software practices constantly provide new tools that can go beyond simple record-keeping practices and add value to the data. In this work, FarmDain is a novel web-based application for sheep and goat management. It aims to improve milk production and processing by digitizing the value chain in data acquisition, processing and visualization between dairy production businesses and their milk suppliers. FarmDain uses state-of-the-art software technologies to model the data collection process and provides a straightforward user interface to facilitate data processing and visualization. Using the app in a case study carried out for 12 months in a dairy sheep farm resulted in lower feeding cost per milked ewe by 5.5% when ewes were allocated into high and low milk production groups compared to the scenario of remaining in one single group. Furthermore, based on reports provided by the app, culling and genetic selection decisions were made to improve the overall farm performance. Similar practices were applied in all farms optimizing their productivity, which led to increased profitability for farms and the Dairy Factory.

Funder

European Regional Development Fund of the European Union

Publisher

MDPI AG

Subject

General Veterinary,Animal Science and Zoology

Reference58 articles.

1. Farm Management Information Systems: Current Situation and Future Perspectives;Fountas;Comput. Electron. Agric.,2015

2. The Dairy Industry: A Brief Description of Production Practices, Trends, and Farm Characteristics Around the World;Douphrate;J. Agromedicine,2013

3. Food Integrated Management Systems: Dairy Industry Insights;Gianni;Int. J. Qual. Reliab. Manag.,2017

4. A Survey of Management Practices and Major Diseases of Dairy Cattle in Smallholdings in Selected Towns of Jimma Zone, South-Western Ethiopia;Duguma;Anim. Prod. Sci.,2020

5. Arsenos, G., Vouraki, S., Ragkos, A., and Theodoridis, A. (2021). Pastoralism and Sustainable Development, Book of Abstracts, CIHEAM.

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