Who will benefit from big data? Farmers’ perspective on willingness to share farm data

Zhang, Airong; Heath, Richard; McRobert, Katie; Llewellyn, Rick; Sanderson, Jay; Wiseman, Leanne; Rainbow, Rohan

doi:10.1016/j.jrurstud.2021.08.006

Cited by 32 publications

(12 citation statements)

References 60 publications

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“…Our results suggest that farmers considered that sharing data with research institutions and peers is potentially more beneficial than sharing with companies. Similar results were reported by Zhang et al [27]. However, our results showed that respondents do not feel confident about companies, universities or research institutions protecting their data.…”

Section: Management and Control Of Datasupporting

confidence: 88%

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: Management and Control Of Datasupporting

confidence: 88%

Addressing Data Bottlenecks in the Dairy Farm Industry

Fadul-Pacheco

Wangen

Silva

et al. 2022

Animals

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“…Processing these data may even help to determine optimal sowing and harvesting dates based on climatic factors, or enable to making productivity previsions. Additionally, machine learning or deep learning techniques may perform this information processing ( Zhang et al., 2011 ; 2021a ; 2021b ). However, remote sensing application is not limited to this.…”

Section: Resultsmentioning

confidence: 99%

A bibliometric and thematic approach to agriculture 4.0

Mühl

Oliveira

2022

Heliyon

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“…The private area, public association, and the power (government) interceding to improve computerized innovations for agribusiness [36]. Ranchers, agribusiness, and government assume significant parts to share information that gives common advantages [32]. To execute enormous data effectively, specialists and ranchers should draw in the private area to foster the framework and ability for the activity, support, and advancement of detecting examination frameworks [28].…”

Section: 2mentioning

confidence: 99%

A Review on Big Data Implementation in Agriculture

Ajhari¹,

Gunawan²,

Candra³

et al. 2022

IJDASEA

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Significant population growth has been an issue lately. This means that crop production should be increased significantly to cater to the growing number of people. With less land to grow it on, changing climate and depletion of viable farmland, big data has been considered a promising approach to solve the problem. This main contribution of this study is to provide overview of the benefits of big data implementation in agriculture and the stakeholders involved by performing asystematic literature review on relevant papers. This study reveals that big data implementation brings benefits such as increase in revenue, support for sustainable agriculture, and support for data driven decision making. For successfulimplementation, stakeholders’ involvement from various sectors are needed.

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Who will benefit from big data? Farmers’ perspective on willingness to share farm data

Cited by 32 publications

References 60 publications

Addressing Data Bottlenecks in the Dairy Farm Industry

Addressing Data Bottlenecks in the Dairy Farm Industry

A bibliometric and thematic approach to agriculture 4.0

A Review on Big Data Implementation in Agriculture

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