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

Baldin, M.; Breunig, T.M.; Cue, R.I.; Vries, Albert De; Doornink, Mark; Drevenak, Jan; Fourdraine, R.H.; George, Regi; Goodling, R.C.; Greenfield, Randall; Jorgensen, Matthew W.; Lenkaitis, Andy; Reinemann, Douglas J.; Saha, Amit; Sankaraiah, C.; Shahinfar, Saleh; Siberski, Cori; Wade, K. M.; Zhang, Fan; Fadul-Pacheco, Liliana; Wangen, Steven R.; Silva, Tadeu E. da; Cabrera, Víctor E.

doi:10.3390/ani11072025

Cited by 10 publications

(11 citation statements)

References 6 publications

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“…Of the farmers, 47 were identified only as farmers and the rest (26) were identified as farmers along with another role (consultant, vendor, extensionist, researcher, other, or a combination of these). The non-farmer group self-identified as consultants (40), vendors (25), extensionists, academics, or researchers (16), or other (15).…”

Section: Demographics Of Respondentsmentioning

confidence: 99%

“…A literature review of technology adoption [38] also reported that the primary drivers of adoption are the observed usefulness and the ease of use. More recently, Baldin et al [40] discussed the sustainable adoption of integrated decision support tools and highlighted the importance of easy implementation, but also underlined the willingness of the dairy industry to work together to coordinate a data sharing process that benefits the entire system. In addition, lack of transparency and confidence in data security are also hurdles for adoption technologies [8].…”

Section: Technological Adoptionmentioning

confidence: 99%

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Addressing Data Bottlenecks in the Dairy Farm Industry

Fadul-Pacheco

Wangen

Silva

et al. 2022

Animals

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A survey to explore the challenges and opportunities for dairy farm data management and governance was completed by 73 farmers and 96 non-farmers. Although 91% of them find data sharing beneficial, 69% are unfamiliar with data collection protocols and standards, and 66% of farmers feel powerless over their data chain of custody. Although 58% of farmers share data, only 19% of them recall having signed a data share agreement. Fifty-two percent of respondents agree that data collected on farm belongs only to the farmer, with 25% of farmers believing intellectual property products are being developed with their data, and 90% of all said companies should pay farmers when making money from their data. Farmers and non-farmers are somewhat concerned about data ownership, security, and confidentiality, but non-farmers were more concerned about data collection standards and lack of integration. Sixty-two percent of farmers integrate data from different sources. Farmers’ most used technologies are milk composition (67%) and early disease detection (56%); most desired technologies are body condition score (56%) and automatic milking systems (46%); most abandoned technologies are temperature and activity sensors (14%) and automatic sorting gates (13%). A better understanding of these issues is paramount for the industry’s long-term sustainability.

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Section: Demographics Of Respondentsmentioning

confidence: 99%

Section: Technological Adoptionmentioning

confidence: 99%

Addressing Data Bottlenecks in the Dairy Farm Industry

Fadul-Pacheco

Wangen

Silva

et al. 2022

Animals

Self Cite

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“…These and internal discussions identified those topics with the greatest need for more in-depth discussion. Among those needs were the sustainable adoption of decision support tools, which was recently published [19], and data governance, which is addressed in this article.…”

Section: Background and Proceduresmentioning

confidence: 99%

Data Governance in the Dairy Industry

Cue

Doornink²,

George³

et al. 2021

Animals

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Data governance is a growing concern in the dairy farm industry because of the lack of legal regulation. In this commentary paper, we discuss the status quo of the available legislation and codes, as well as some possible solutions. To our knowledge, there are currently four codes of practice that address agriculture data worldwide, and their objectives are similar: (1) raise awareness of diverse data challenges such as data sharing and data privacy, (2) provide data security, and (3) illustrate the importance of the transparency of terms and conditions of data sharing contracts. However, all these codes are voluntary, which limits their adoption. We propose a Farmers Bill of Rights for the dairy data ecosystem to address some key components around data ownership and transparency in data sharing. Our hope is to start the discussion to create a balanced environment to promote equity within the data economy, encourage proper data stewardship, and to foster trust and harmony between the industry companies and the farmers when it comes to sharing data.

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“…Therefore, the integration of the following nine aspects: cooperation; inclusion; financing; diversification; communication; policies; knowledge with entrepreneurship; and production enables the creation of sustainable values. The key tool for the integration of these aspects is the data sharing (either as re-using of the open data or as contractual sharing), enabled by the effective data governance [7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

Hrustek¹,

Furjan²,

Varga³

et al. 2022

Interdisciplinary Description of Complex Systems

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The successful adoption of digital innovations in agricultural production systems is based on the proactive participation of all stakeholders and represents an important step in establishing resilient agri-food chains and creating sustainable value. The key tool for the creation of sustainable value is integrating the nine aspects of the business process (cooperation; inclusion; financing; diversification; communication; policies; knowledge with entrepreneurship; and production) by re-using of open governmental and public endeavours data as well as by the contractual sharing. The objectives of this research are to identify stakeholders in the Croatian agricultural system, and to explore their roles and their potential for data supply and needs for data uptake. Open access repositories were queried to identify stakeholders. Direct observation methods and semi-structured conservational qualitative interviews were used for stakeholder characterisation and data flow detection. Stakeholder importance with respect to current data supply was analysed. Underdeveloped data flow relationships in the agricultural data ecosystem in Croatia could be built in a spontaneous process following the data opening of the Research and Consumer group of stakeholders and promoting data sharing initiatives of the early adopters in the Supplier group. In that way, data opening would be the driver of the effective cooperation creation required for sustainable value creation but also the adoption of the best management practices, sustainable solutions and digital development.

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

Cited by 10 publications

References 6 publications

Addressing Data Bottlenecks in the Dairy Farm Industry

Addressing Data Bottlenecks in the Dairy Farm Industry

Data Governance in the Dairy Industry

Towards Digital Innovation: Stakeholder Interactions in Agricultural Data Ecosystem in Croatia

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