Page 143 - FoodFocusThailand No.199 October 2022

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farm management in line with the animal monitoring and analysis, which is referred to as precision livestock farming
Department of Livestock Development (PLF). In PLF, tools and sensors are used to monitor key performance indicators
and international standards will help of livestock continuously and automatically in the areas of animal health,
increase farm management efficiency. productivity, and environmental load.
Other related factors include having
good practices to ensure early warning More Information Service Info C020
in case of an outbreak from outside the
farm. Strict guidelines and restrictions เอกสารอ้างอิง / References
www.cpfworldwide.com/en/media-center
are required when entering the farms to www.deloitte.com/de/de/pages/operations/articles/smart-livestock-farming.html
protect animal health. A monitoring and www.hitechgroup.pk/HitechFarms.html
assessment system should be www.ngthai.com/environment/3989/dutch-agriculture/
implemented as well.

Key Challenges Facing The
Meat Industry
Demand for meat has increased
dramatically over the recent decades.
Global production has quadrupled from
80 to over 300 million tons between
1963 and today. This development is
mainly driven by continuous population
growth and rising per capita incomes.
In the past, most of the demand growth
could have been met by increased
slaughter weights, but the growth in
animal productivity is expected to slow
down in the future. The livestock sector
already uses one-third of global arable
land and 8% of available freshwater.
It is also largely responsible for
deforestation and biodiversity loss and
contributes 15% of global CO emissions.
2
Expanding a livestock farming business
with no environmental impact is more
challenging than ever.

Smart Livestock Farming with
the Help of Digitalization
The approach of data-based operating
models goes beyond the electronic
reproduction of processes by really
leveraging new technologies, such as
big data, predictive analytics, and IoT.
It is based on pattern recognition,
resilient networks, and self-organization.
Smart livestock farming aims to
achieve more productive, efficient, and
sustainable farm operations based on
the effective use of digital technologies.
The largest potential lies in individual

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