Page 68 - FoodFocusThailand No.202 January 2023
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             Precision Farming AI technologies are being used to bring   cornerstone of more accurate, agile, predictable supply
             new depths of precision to farming. So, this might be analysis   chains, helping businesses to plan for all eventualities and
             of past harvests in terms of both quantity and quality, in   delivering the actionable insight needed to stay one step
             combination with weather forecasts to inform which fields need   ahead of the competition.
             watering and when, or when to use fertiliser perhaps. In the
             aquaculture  sector,  there  is  a  business  that  is  using AI   Sustainability  The issue of sustainability is another
             technology to ensure accurate doses of feed are administered   area where AI is having a positive impact on food and
             in shrimp farming, avoiding over and under-feeding. This serves   beverage manufacturing. Businesses are able to use the
             to lower the feed conversion ratio and shortens the shrimp   insight generated by AI applications to minimise energy
             production cycle, doubling production without huge   and  water  usage,  ensuring  the  most  energy-efficient
             intensification.                                     production,  alongside  waste  reduction  at  all  potential
                The adoption of Precision Farming presents a great   touch points in the manufacturing process. In a similar vein,
             opportunity to increase the efficiency of the Thai agricultural   machine  learning-based  specification  matching  and
             sector, according to the Economic and Business Research   stock allocation enables manufacturers to ask if they can
             Center the Siam Commercial Bank (SCB EIC). A study by the   optimise the use of existing stock and still meet customer
             Association of Equipment Manufacturers (AEM) found that   specifications.
             Precision Farming can increase productivity by about 6%, save   As well, innovative businesses are taking quality
             fertiliser and pesticide use by almost 15%, and reduce water   information, in combination with ingredient shelf-life data,
             consumption by up to 21%. Fertiliser costs tend to increase   using  AI to determine dynamic best before dates. AI answers
             consistently, especially today.                      the question of ‘can we extend the shelf life safely considering
                According to EIC, if technology innovation is successfully   the quality at hand?’, which ultimately prolongs the sellable
             fostered in the Thai agricultural industry, it will benefit the entire   life of a product, reducing waste and increasing revenue. At
             agricultural ecosystem, not only Thai farmers. The entire Thai   the same time, AI technologies can facilitate smart shelves
             agriculture sector will improve because of this. Additionally,   in  supermarkets,  where  prices  are  adjusted  based  on
             one  in  five  jobs  in  the  agricultural  sector  are  applying      remaining shelf life and point of sales history, reducing waste
             technology to change the type of agriculture can lessen the   and increasing profitability further still.
             environmental impact on the industry that produces the highest
             greenhouse  gases. Promoting  the  agriculture  industry’s   Maximise yield The ability to maximise yield is yet another
             capacity to adapt to climate change, which is going to get worse   area where AI can make a world of difference. Internet of
             every day and further variation in the future.       Things (IoT) devices in combination with machine learning
                                                                  are optimising machine settings to maximise yield. For
             Pricing Strategy  Again, taking into account numerous   example, manufacturers can ask how to maximise yield
             factors, the application of AI technologies can inform a more   considering the quality of ingredients and the process
             effective pricing strategy. AI applications can quickly and   conditions. Considering an almost inordinate number of
             effectively  analye  all  contributing  variables,  such  as      process parameters, it is possible for manufacturers to use
             seasonality, competitor pricing, promotions, customer demand,   AI to maximise the output of processes at every step of the
             etc., building up a clear picture of pricing history and trends,   way.
             to  inform  recommendations  regarding  which  products               AI is all about connecting the dots, making the most of
             should be sold at which price to maximise revenues. There is   the  huge  amounts  of  data  generated  by  the  food  and
             already a leading European bakery ingredients business           beverage sector, and using AI technologies to analyse this
             doing just this, implementing the right technology to achieve   data and gain a better understanding of the many and
             optimal  pricing  recommendations  for  its  wide  range  of          complex variables at play within the industry. As more
             products.                                            businesses invest in AI technologies, so suppliers can create
                                                                  more  out-of-the  box AI  solutions.  The  learnings  and
             Mitigate Against Unpredictability Over the past two   experiences of food and beverage manufacturers inform AI
             years in particular, the unpredictability of food supply chains   templates that can then be applied to similar businesses,
             has had a massive impact on food and beverage manufacturing.   delivering the insight needed to maximise efficiencies and
             This is another area where AI can hold the key to unlocking   boost revenue.To work, AI needs data. As long as there is
             new, better ways of working. For example, the right AI tools   data, it is possible to use AI technologies to recognise data
             can predict sea vessel arrival times, helping manufacturers to   trends and patterns, applying this learning and insight back
             more accurately forecast when their raw ingredients will be   to the business. It is this application of insight that is helping
             arriving. It is the level of detail that AI brings that makes all the   to create better, faster, more profitable operations at every
             difference. Not only can manufacturers secure a more accurate   stage  of  the  supply  chain,  building  a  responsive  and
             picture of when ingredients will arrive, but the technology can   resilient  food  and  beverage  industry  right  across  the
             also factor in considerations such as how long deliveries will   world.
             take to unload at the factory, instilling an even greater level of
             accuracy when it comes to scheduling production to optimise
             operations and maximise productivity.
                This  granularity  of information  is what  makes AI the   More Information       Service Info C014

             68 FOOD FOCUS THAILAND  JAN   2023


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