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A public policy discussion of food security and emerging food production management technologies that include drones, robots, and new technologies

Darrell Norman Burrell et al.

Perspectives of Innovations, Economics & Business2018https://doi.org/10.15208/pieb.2018.6article
ABDC C
Weight
0.34

What the paper says

<p>The business of food production has undergone significant revolutions through the innovations of the Industrial Revolution, a division of labor, genetically modified crops, the growth of sustainability, and use of farming robots, computers, and drones. An invasive business, economic, and public policy phenomenon that is driving technology integration in the food and agriculture industry is technological determinism. Technological determinism is the continuous integration of technologies to enhance society and existing processes and practices with little regard to institutional and organizational cultural implications.  Without a doubt, technological determinism is a significant contributor for advancing the business and policy uses of technology in farming and agricultural practices. This paper uses relevant food security public policy literature to discuss the benefits and cyber risks to technology-driven food production approaches.</p>

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https://doi.org/https://doi.org/10.15208/pieb.2018.6

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@article{darrell2018,
  title        = {{A public policy discussion of food security and emerging food production management technologies that include drones, robots, and new technologies}},
  author       = {Darrell Norman Burrell et al.},
  journal      = {Perspectives of Innovations, Economics & Business},
  year         = {2018},
  doi          = {https://doi.org/https://doi.org/10.15208/pieb.2018.6},
}

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A public policy discussion of food security and emerging food production management technologies that include drones, robots, and new technologies

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Evidence weight

0.34

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.00 × 0.4 = 0.00
M · momentum0.80 × 0.15 = 0.12
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.