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Commentary

Integrated Decision Support Systems (IDSS) for Dairy Farming: A Discussion on How to Improve Their Sustained Adoption

1
MILC Group, San Luis Obispo, CA 93405, USA
2
Allflex Livestock Intelligence, Madison, WI 53718, USA
3
Department of Animal Science, McGill University, Montréal, QC H9X 3V9, Canada
4
Department of Animal Sciences, University of Florida, Gainesville, FL 32608, USA
5
VES-Artex, Chippewa Falls, WI 54729, USA
6
SK Farm Partners s. r. o., Bratislava IV, 841 02 Bratislava, Slovakia
7
Dairy Record Management Systems, Raleigh, NC 27603, USA
8
Nalytix LLC, Hartland, WI 53029, USA
9
Department of Animal Science, Pennsylvania State University, State College, PA 16802, USA
10
Vita Plus Corporation, Madison, WI 53725, USA
11
USDA—ARS Livestock Behavior Research Unit, West Lafayette, IN 47907, USA
12
GEA Farm Technologies Inc., Naperville, IL 60563, USA
13
Department of Biological Systems Engineering, University of Wisconsin, Madison, WI 53706, USA
14
FoGS Global Research and Consultancy Centre, Ahmedabad 382010, Gujarat, India
15
Land O’Lakes Inc., Arden Hills, MN 55126, USA
16
Agriculture Victoria Research, Bundoora, VIC 3083, Australia
17
Department of Animal Science, Iowa State University, Ames, IA 50011, USA
18
Department of Animal and Dairy Sciences, University of Wisconsin, Madison, WI 53706, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Igino Andrighetto
Animals 2021, 11(7), 2025; https://doi.org/10.3390/ani11072025
Received: 3 June 2021 / Revised: 25 June 2021 / Accepted: 29 June 2021 / Published: 7 July 2021
(This article belongs to the Collection Smart Farming in Dairy Production)
This paper discusses mechanisms to promote the sustained adoption of integrated decision support systems (IDSS) in dairy farming. Integrated DSS are those that receive continuous data streams from on-farm and off-farm data collection systems and integrate them to produce insightful and effective outcomes. Multiple limiting factors are preventing the use and adoption of existing IDSS and could also prevent the adoption of upcoming IDSS. In summary, these factors include value proposition, practical application, ease of use, and data governance issues related to the IDSS. Therefore, awareness and further industry-wide discussion of these components could help in the development and sustained adoption of IDSS in order to facilitate the complex process of decision making. As a commentary paper, the emphasis is on the authors’ extensive experience, expertise, and practical knowledge.
Dairy farm decision support systems (DSS) are tools which help dairy farmers to solve complex problems by improving the decision-making processes. In this paper, we are interested in newer generation, integrated DSS (IDSS), which additionally and concurrently: (1) receive continuous data feed from on-farm and off-farm data collection systems and (2) integrate more than one data stream to produce insightful outcomes. The scientific community and the allied dairy community have not been successful in developing, disseminating, and promoting a sustained adoption of IDSS. Thus, this paper identifies barriers to adoption as well as factors that would promote the sustained adoption of IDSS. The main barriers to adoption discussed include perceived lack of a good value proposition, complexities of practical application, and ease of use; and IDSS challenges related to data collection, data standards, data integration, and data shareability. Success in the sustainable adoption of IDSS depends on solving these problems and also addressing intrinsic issues related to the development, maintenance, and functioning of IDSS. There is a need for coordinated action by all the main stakeholders in the dairy sector to realize the potential benefits of IDSS, including all important players in the dairy industry production and distribution chain. View Full-Text
Keywords: data stream; decision-making; integrated decision support tools; prescriptive analytics data stream; decision-making; integrated decision support tools; prescriptive analytics
MDPI and ACS Style

Baldin, M.; Breunig, T.; Cue, R.; De Vries, A.; Doornink, M.; Drevenak, J.; Fourdraine, R.; George, R.; Goodling, R.; Greenfield, R.; Jorgensen, M.W.; Lenkaitis, A.; Reinemann, D.; Saha, A.; Sankaraiah, C.; Shahinfar, S.; Siberski, C.; Wade, K.M.; Zhang, F.; Fadul-Pacheco, L.; Wangen, S.; da Silva, T.E.; Cabrera, V.E. Integrated Decision Support Systems (IDSS) for Dairy Farming: A Discussion on How to Improve Their Sustained Adoption. Animals 2021, 11, 2025. https://doi.org/10.3390/ani11072025

AMA Style

Baldin M, Breunig T, Cue R, De Vries A, Doornink M, Drevenak J, Fourdraine R, George R, Goodling R, Greenfield R, Jorgensen MW, Lenkaitis A, Reinemann D, Saha A, Sankaraiah C, Shahinfar S, Siberski C, Wade KM, Zhang F, Fadul-Pacheco L, Wangen S, da Silva TE, Cabrera VE. Integrated Decision Support Systems (IDSS) for Dairy Farming: A Discussion on How to Improve Their Sustained Adoption. Animals. 2021; 11(7):2025. https://doi.org/10.3390/ani11072025

Chicago/Turabian Style

Baldin, Michel, Tom Breunig, Roger Cue, Albert De Vries, Mark Doornink, Jan Drevenak, Robert Fourdraine, Regi George, Robert Goodling, Randall Greenfield, Matthew W. Jorgensen, Andy Lenkaitis, Doug Reinemann, Amit Saha, Chakra Sankaraiah, Saleh Shahinfar, Cori Siberski, Kevin M. Wade, Fan Zhang, Liliana Fadul-Pacheco, Steven Wangen, Tadeu E. da Silva, and Victor E. Cabrera 2021. "Integrated Decision Support Systems (IDSS) for Dairy Farming: A Discussion on How to Improve Their Sustained Adoption" Animals 11, no. 7: 2025. https://doi.org/10.3390/ani11072025

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