Page 25 - Think Grain Think Feed - Noc 2025 Issue

www.benisonmedia.com ARTICLE formats such as Excel, and The next leap forward for resilient, cost-effective, and

Think Grain Think Feed - Volume 12 | Issue 1 | Nov 2025

NIR will be in how data is
accessible across multiple
sustainable feed supply
interpreted. Machine
sites or teams.
chain.
But meeting these
process vast amounts of
expectations is not just
Challenge
spectral data to identify
about convenience. learning algorithms can A Shared Industry
With rising competition
Inaccurate or delayed subtle patterns and predict across the animal production
analysis can lead to outcomes with greater industry, demand for
suboptimal formulations, precision. This could enable nutrition strategies that
increased costs and greater automated alerts when deliver both efficiency and
variability in animal ingredient quality shifts value is growing.
performance. For farmers outside expected ranges, or
NIR spectroscopy has already
operating on tight margins, real-time adjustments of
transformed feed analysis,
that is a risk few can afford feed formulations in providing the speed and
to take. response to new data. It
accuracy needed to enable
could also allow
Advances in NIR: How targeted nutrition on a
benchmarking of
Technology Is Responding? commercial scale. To keep
performance across regions
Developments in hardware, delivering meaningful value
or production systems to
software and connectivity are it must continue to evolve in
uncover hidden efficiency
helping NIR systems keep step with the needs of the
gains.
pace with these demands. user, ensuring accurate,
Modern platforms now As artificial intelligence immediate results with
becomes further embedded
feature cleaner displays, minimal downtime; offline
in agricultural technology,
intuitive dashboards and functionality for remote
the focus will shift from
built-in guidance, making locations; seamless
producing insights to
them easier for new users to integration with other data
navigate. Enhanced storage delivering actionable sources, and machine
recommendations – telling
and filtering options allow learning capabilities to move
producers to manage large the user not just what is from analysis to decision
happening, but what to do
datasets more effectively, support.
track trends over time and next. As production costs and
share insights across teams. For farmers and feed environmental pressures
professionals, these advances
Recognizing that not all mount, the ability to turn
promise faster, more reliable
farms have reliable internet, vast amounts of data into
nutritional analysis and more
some systems can now actionable insights will be
operate fully offline, informed feed and farm critical. Shared datasets,
management strategies, even
uploading data automatically open standards, and robust
once a connection is in remote areas. They offer calibrations based on diverse
greater confidence in diet
restored. Next-generation global samples can help
NIR platforms are also being formulations, improving feed ensure NIR remains a
efficiency and animal
designed to handle new valuable tool regardless of
parameters and integrate performance. They also geography or production
provide better control over
with emerging technologies system.
data, enabling long-term
over the next decade. This The next generation of NIR
tracking and more informed
kind of futureproofing systems – designed not just
decision-making. In practical
reflects a wider shift in for today's needs but for the
terms, this means reduced
agriculture towards digital challenges of tomorrow – will
reliance on external
tools that are not just be central to supporting
accurate but also accessible, laboratories, fewer delays in more efficient, resilient, and
responding to on-farm
resilient and adaptable. sustainable animal
challenges and a more
Looking Beyond production.
24