What are the priority research questions for digital agriculture?

Ingram, Julie; Maye, Damian; Bailye, Clive; Barnes, Andrew P.; Bear, Christopher; Bell, Matthew; Cutress, David; Davies, Lynfa; Boon, Auvikki de; Dinnie, Liz; Gairdner, Julian; Hafferty, Caitlin; Holloway, Lewis; Kindred, D. R.; Kirby, David A.; Leake, Bethany; Manning, Louise; Marchant, Ben P.; Morse, Aimee; Oxley, S. J. P.; Phillips, Martin; Regan, Áine; Rial-Lovera, Karen; Rose, David Christian; Schillings, Juliette; Williams, Fiona; Williams, H.; Wilson, Lucy

doi:10.1016/j.landusepol.2021.105962

Cited by 76 publications

(37 citation statements)

References 88 publications

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“…Notably, during our literature review process, we found three studies, i.e., Capalbo et al [15], Weersink et al [11] and Wolfert et al [44], describing the importance of data/big data in the agricultural performance without relating to FAIR data principles. Our search also found four research papers, i.e., Koers et al [45], Robinson et al [46], Roitsch et al [47], Ingram et al [48] and Bahlo et al [49], recommending the adoption of FAIR data principles to enhance agricultural performance, without explaining how or why. These papers do not meet the selections criteria; hence, they were excluded during screening and eligibility processes.…”

Section: Eligibility/assessmentmentioning

confidence: 99%

The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review

Ali

Dahlhaus

2022

Agriculture

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Feeding a growing global population requires improving agricultural production in the face of multidimensional challenges; and digital agriculture is increasingly seen as a strategy for better decision making. Agriculture and agricultural supply chains are increasingly reliant on data, including its access and provision from the farm to the consumer. Far-reaching data provision inevitably needs the adoption of FAIR (Findable, Accessible, Interoperable, and Reusable) that offer data originators and depository custodians with a set of guidelines to safeguard a progressive data availability and reusability. Through a systematic literature review it is apparent that although FAIR data principles can play a key role in achieving sustainable agricultural operational and business performance, there are few published studies on how they have been adopted and used. The investigation examines: (1) how FAIR data assimilate with the sustainability framework; and (2) whether the use of FAIR data by the agriculture industry, has an impact on agricultural performance. The work identifies a social science research gap and suggests a method to guide agriculture practitioners in identifying the specific barriers in making their data FAIR. By troubleshooting the barriers, the value propositions of adopting FAIR data in agriculture can be better understood and addressed.

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Section: Eligibility/assessmentmentioning

confidence: 99%

The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review

Ali

Dahlhaus

2022

Agriculture

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“…The agriculture 4.0 was generated from the industrial agriculture, and based on the 4 th industrial revolution, which led to reshaping every industry (Abbasi et al 2022). The digital agriculture has priority research, which may include the following topics data management, governance, enabling use of data and technologies, understanding benefits and uptake of data and technologies, new collaborative arrangement, optimizing data and technologies for performance, and impacts of digital agriculture (Ingram et al 2022). What are the most important emerging disruptive digital technologies?…”

Section: Smart Agriculture: and Its Applicationsmentioning

confidence: 99%

Applications and Challenges of Smart Farming for Developing Sustainable Agriculture

Abdalla

El-Ramady

2022

EBSS

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griculture is the backbone of any nation, which supplies with the needed foods, feeds, fiber and fuel. The crucial sector has become more flexible and advanced due to the enormous progress in the bioinformatics, which penetrates all fields in our life. Smart agriculture is an important page in the history of global agriculture, which already used several advanced technologies during different agricultural practices starting from the pre-cultivation, cultivation, seedling, fertilization, weed detection, irrigation, spraying pesticides, till harvesting and also pot-harvest. Many sectors have been involved in smart farming like smart irrigation, and all precision farming practices for improving and management of the agriculture especially in the developing countries, which need more supporting from their governments even at the private sector and the small farms level. This short communication is a call for submitting articles on smart farming and its applications in different agricultural practices including irrigation, fertilization, and etc. Due to smart agriculture mainly depends on the bioinformatics, this technology has several open questions particularly their applications, models, and security, which need further investigations.

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“…Increased use of robotics has potential implications for power dynamics between farmers and technology providers, and these impacts need to be better anticipated in the design process (Pigford et al, 2018;Ingram et al, 2022). Many of these factors increase the innovation uncertainty related to a new technology, including uncertainty about technology performance, support networks, regulation and policy settings (Eastwood and Renwick, 2020).…”

Section: A Framework For Assessing Responsible Design Of Robotics In ...mentioning

confidence: 99%

“…Recent research into the topic of robotics, automation, and smart farming have identified some research and development challenges. A review by Ingram et al (2022) identified priority research questions in agriculture, including the need to understand factors influencing the uptake of digital technology, how to include farmer perspectives in design of digital tools, and anticipating potential effects of such technologies on agriculture and agricultural work. Ryan et al (2021) note research themes around benefit distribution of robots in agriculture, potential impacts on the idea of the "good farmer", how robots can contribute to positive animal welfare, and the duality of enacting sustainable farming with robots.…”

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confidence: 99%

Responsible robotics design–A systems approach to developing design guides for robotics in pasture-grazed dairy farming

et al. 2022

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Application of robotics and automation in pasture-grazed agriculture is in an emergent phase. Technology developers face significant challenges due to aspects such as the complex and dynamic nature of biological systems, relative cost of technology versus farm labor costs, and specific market characteristics in agriculture. Overlaying this are socio-ethical issues around technology development, and aspects of responsible research and innovation. There are numerous examples of technology being developed but not adopted in pasture-grazed farming, despite the potential benefits to farmers and/or society, highlighting a disconnect in the innovation system. In this perspective paper, we propose a “responsibility by design” approach to robotics and automation innovation, using development of batch robotic milking in pasture-grazed dairy farming as a case study. The framework we develop is used to highlight the wider considerations that technology developers and policy makers need to consider when envisaging future innovation trajectories for robotics in smart farming. These considerations include the impact on work design, worker well-being and safety, changes to farming systems, and the influences of market and regulatory constraints.

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What are the priority research questions for digital agriculture?

Cited by 76 publications

References 88 publications

The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review

The Role of FAIR Data towards Sustainable Agricultural Performance: A Systematic Literature Review

Applications and Challenges of Smart Farming for Developing Sustainable Agriculture

Responsible robotics design–A systems approach to developing design guides for robotics in pasture-grazed dairy farming

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