Global Dairy Sector: Trends, Prospects, and Challenges

Bhat, Rajeev; Pasquale, Jorgelina Di; Bánkuti, Ferenc Istvan; Siqueira, Tiago Teixeira da Silva; Shine, Philip; Murphy, Michael D.

doi:10.3390/su14074193

Cited by 17 publications

(7 citation statements)

References 21 publications

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“…Technology is a crucial aspect for the sustainability of modern dairy e-businesses, both for manufacturing and protection, and for surveillance, advancement, and delivery of manufactured goods (Bhat et al, 2022). The achievement of this worldwide sector is especially important to the advancement of the sector, which, among others, is tackling the strategic issue of globalization head-on.…”

Section: Dairy Industry Sectormentioning

confidence: 99%

Re-Engineering Digital Marketing Strategy of Dairy Industries

Malisianou,

Giannakopoulos,

Sakas

et al. 2024

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With the goal of all businesses, including those in the dairy industry, to climb their website rank in the world web, it is particularly important to implement well-planned promotions and actions in the appropriate communication channels. These channels are now being used as business tools, and therefore, planning, monitoring, and constant updating of the corresponding strategy. This paper examines the effect of big data, collected from the websites of 5 well-known dairy firms, based on their financial and ESG results, by performing statistical analysis (correlation) and Fuzzy Cognitive Mapping (FCM) scenarios, on the global ranking of these dairy businesses. Throughout this study, it is discerned that a significant number of dairy firms' website data, such as social traffic, unique visitors, backlinks, referring domains, referral traffic, paid traffic, direct traffic, search traffic, organic keywords, organic traffic, mobile traffic, and desktop traffic, should be utilized by their marketers and receive further improvement, through investment, due to their ability to enhance the ranking of dairy firms' website in search engine results.

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Section: Dairy Industry Sectormentioning

confidence: 99%

Re-Engineering Digital Marketing Strategy of Dairy Industries

Malisianou,

Giannakopoulos,

Sakas

et al. 2024

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“…The dairy industry is experiencing strong global growth (Douphrate et al, 2013 ; Bhat et al, 2022 ) accompanied by significant transformations through the increasing adoption of digital technologies (Borchers and Bewley, 2015 ; Gargiulo et al, 2018 ; Hansen et al, 2019 ; Gabriel and Gandorfer, 2023 ). As the industry enables this growth by producing dairy products more efficiently, it becomes essential to focus on cow health, as well as long-term factors, such as environmental impacts and profitability (Barkema et al, 2015 ; Bhat et al, 2022 ). The adoption of digital technologies on dairy farms (Gabriel and Gandorfer, 2023 ) means that considerably more data are being generated from dairy farms.…”

Section: Introductionmentioning

confidence: 99%

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring

Pakrashi,

Wallace,

Mac Namee

et al. 2023

Front. Artif. Intell.

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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.

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“…Running a modern dairy farm requires special administrative skills and responsibilities, as the people and the machines that are engaged in the production process call for coordination, training and organization in space and time. The development and the combination of such skills and qualities encumber the management of farms and make them vulnerable to policy changes and to market, technical and environmental challenges [12]. The margins are narrow, and management plays a crucial role in the survival of dairy farms.…”

Section: Introductionmentioning

confidence: 99%

“…Currently, there is an ongoing debate regarding the solutions that will help meet the expected efficiency in the dairy sector and overcome recurring sustainability challenges [4,12]. In this context, the measurement of efficiency can be a useful tool for revealing the key conditions that are essential for a successful and sustainable business model in European dairy farming [19].…”

Section: Introductionmentioning

confidence: 99%

Entrepreneurship in Dairy Cattle Sector: Key Features of Successful Administration and Management

Koutouzidou¹,

Ragkos²,

Theodoridis

et al. 2022

Land

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In this study, data envelopment analysis is applied to 47 dairy cattle farms to estimate their level of efficiency in the utilization of the available resources and to identify the most efficient ones. The analysis is based on technical and economic data collected through a farm management survey. The main structural and financial characteristics of the most efficient farms are presented, revealing the features that make them better than their peers. A comparative financial analysis is applied between the efficient and inefficient farms, highlighting the appropriate farm structure and determining the major cost drivers in modern dairy cattle farming. The results show that there is still room for improvement in intensive dairy farming. Dairy cattle farms must operate with increased variable cost and utilize their infrastructure at full capacity to decrease their fixed cost per cow. Farms should increase their economic resilience and be less risk averse in an environment where margins to lower production costs in highly intensive farms have been narrowed down. The findings of this study verify that dairy cattle farms of entrepreneurial mindset have the potential to rise to the future economic, environmental and social challenges that will affect the survival of the sector.

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Global Dairy Sector: Trends, Prospects, and Challenges

Abstract: Currently, there is a strong need to find practical solutions towards meeting the expected efficiency and overcoming recurring sustainability challenges in the global dairy sector [...]

Cited by 17 publications

References 21 publications

Re-Engineering Digital Marketing Strategy of Dairy Industries

Re-Engineering Digital Marketing Strategy of Dairy Industries

CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring

Entrepreneurship in Dairy Cattle Sector: Key Features of Successful Administration and Management

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