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      A systematic literature review on deep learning applications for precision cattle farming

      , , , ,
      Computers and Electronics in Agriculture
      Elsevier BV

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          Food security: the challenge of feeding 9 billion people.

          Continuing population and consumption growth will mean that the global demand for food will increase for at least another 40 years. Growing competition for land, water, and energy, in addition to the overexploitation of fisheries, will affect our ability to produce food, as will the urgent requirement to reduce the impact of the food system on the environment. The effects of climate change are a further threat. But the world can produce more food and can ensure that it is used more efficiently and equitably. A multifaceted and linked global strategy is needed to ensure sustainable and equitable food security, different components of which are explored here.
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            Machine learning to classify animal species in camera trap images: Applications in ecology

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              A review on dairy cattle farming: Is precision livestock farming the compromise for an environmental, economic and social sustainable production?

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                Author and article information

                Journal
                Computers and Electronics in Agriculture
                Computers and Electronics in Agriculture
                Elsevier BV
                01681699
                August 2021
                August 2021
                : 187
                : 106313
                Article
                10.1016/j.compag.2021.106313
                412d828f-bbe9-4f90-9b09-11609c29af5f
                © 2021

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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