Page 37 - FoodFocusThailand No.231 June 2025

SPECIAL FOCUS

separate defective leaves and transparency by enabling traceability from cultivation to distribution. This assures
beans from quality ones, thereby consumers that products are sourced from farms committed to sustainable practices.
improving overall efficiency and Such detailed tracking also helps reduce resource waste and logistical inefficiencies.
product consistency. 3. Sustainable Production and Green Packaging
- Precision Agriculture and Modern consumers increasingly value sustainability in their purchasing decisions.
IoT (Internet of Things) This has driven the adoption of biodegradable packaging, including tea bags made
Precision agriculture involves from natural fibers or bioplastics. Manufacturing processes have also evolved to
the use of technologies such as lower carbon emissions, with clean energy sources such as solar and wind power
soil quality sensors, drones, and being integrated to mitigate environmental impact and promote long-term sustainability
GPS to collect and analyze real- in the coffee and tea industry.
time environmental data, such as
temperature, humidity, and soil
nutrient levels. This information
enables more accurate control of
irrigation and fertilization, tailored
to the specific needs of each plant.
As a result, coffee and tea crops
can reach their full potential while
using fewer resources. For
example, water usage is
optimized, and soil conditions in
tea plantations are maintained at
levels ideal for cultivation,
reducing costs and minimizing
environmental impact.
- Machinery-based
Manufacturing and Quality
Control
Once harvested, tea leaves
and coffee beans are oven-dried
and roasted to preserve their
aroma and flavor. Machines
precisely regulate temperature
and humidity during this process,
ensuring consistent quality in the
final products. The integration of
artificial intelligence (AI) into
production control systems further
enhances accuracy and helps
maintain standardized quality
across batches.
2. Data Analysis and
Production Forecast
- Production Forecast and
Climate-oriented Adaptation
Historical data on weather
patterns, crop yields, and plant
health can be leveraged to more
accurately forecast future
production. This enables better
risk assessment and helps
farmers prepare for climate
variations, optimize harvest
timing, and make informed
decisions to improve resilience.
- Enhancing Supply Chain
Efficiency
Data analytics can enhance
and manage various supply chain
components such as logistics,
storage, and packaging, thereby
accelerating production and
minimizing losses. Additionally,
blockchain technology enhances

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