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C. R. Eastwood

Researcher at Lincoln University (New Zealand)

Publications -  42
Citations -  1204

C. R. Eastwood is an academic researcher from Lincoln University (New Zealand). The author has contributed to research in topics: Agriculture & Biology. The author has an hindex of 13, co-authored 35 publications receiving 794 citations. Previous affiliations of C. R. Eastwood include University of Melbourne.

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Dynamics and distribution of public and private research and extension roles for technological innovation and diffusion: Case studies of the implementation and adaptation of precision farming technologies

TL;DR: In this article, the authors examine the interaction and distribution of research and extension roles of public, private, and agricultural industry organizations in precision farming innovation systems and connect findings to the broader debates on role divisions of public and private research and extensions in innovation systems.
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Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia

TL;DR: In this paper, a study of six Australian dairy farms installing new precision dairy farming technology was undertaken to develop an in-depth picture of the issues occurring at the interface where precision farming data and decision-making meet.
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Managing Socio-Ethical Challenges in the Development of Smart Farming: From a Fragmented to a Comprehensive Approach for Responsible Research and Innovation

TL;DR: In this article, the authors use smart dairying research and development (RD interviews with smart-dairying stakeholders; and the application of an analytical framework based on responsible research and innovation (RRI) dimensions.
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Dairy farmers with larger herd sizes adopt more precision dairy technologies.

TL;DR: The results showed that farmers with more than 500 cows adopted between 2 and 5 times more specific precision technologies, such as automatic cup removers, automatic milk plant wash systems, electronic cow identification systems and herd management software, when compared with smaller farms.
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Rapid identification of soil textural and management zones using electromagnetic induction sensing of soils

TL;DR: In this paper, three surveys of a pastoral-cropping farming system were carried out over a period of 1 year, using an electromagnetic sensor and real-time-kinematic (RTK)-GPS.