In the era of Artificial Intelligence, Every industry now becoming the biggest booming industry and bringing a new era of technology and innovations in every aspect. The rising demand for Artificial Intelligence bringing more jobs and innovative working styles. Govt also started investment in AI technology to bring more productive work in every sector. Now, AI catching the attention of every Business sector and one of them is the Food Processing Industry. The Food processing industry is currently capped at a whopping $100 billion and will continue to grow at a CAGR of at least 5 % by 2021. In future food production, Artificial Intelligence has a crucial role to play. Food and beverage companies are increasingly moving to satisfy customer needs by leveraging technology for operations and logistical efficiencies. Artificial intelligence has been adopted by the industry's prominent players to establish deep empathy for their audience. AI is impacting the food processing industry directly or indirectly. It helps both farmers or the food processing industry to produce high-quality raw materials and help to generate revenue. In Food Processing Industry there are so many processes like checking the quality of food, packaging, food safety, cleanliness, and so many things, and these things are not possible for workers to check the large quantity. So AI makes these things possible and makes these industries more productive and making these processes easier and efficient.
So here we Discuss
what are the applications of Artificial Intelligence in the food processing
industry:
Ensuring Personal Hygiene:
In this aspect, AI
helps businesses to easily identify any inefficiencies and remove them to
improve food safety. In a food plant, which is
just as essential as hygiene in a kitchen, AI also helps improve personal
hygiene and helps to ensure that a facility is compliant with regulations.
Companies like KanKan worked to develop smart solutions to make this happen as
the company introduced an AI-powered hygiene enhancement solution in China.
The device, which can also be used in
restaurants, uses employee surveillance cameras and uses software for facial
recognition and object recognition to decide if employees wear hats and masks
as required by food safety laws. The app collects screen pictures for analysis
if it detects a breach.
Sorting Food Product and Packaging:
The
first operational challenge facing food processing industry is feedstock
sorting. Every potato, tomato, orange, and apple is different, and therefore
needs thorough sorting, because to remain in the market, every food processing
company must retain a certain quality.This process involves a large amount of
human labour if not automated through AI and other emerging technologies such
as IoT. According to TOMRA, a leading provider of sorting and collection
solutions in Norway, until the end of the 20th century, 90% of food was sorted
by humans. TOMRA uses X-ray, NIR (Near Infra-Red) spectroscopy, LASER, cameras
and a special machine-learning algorithm to analyse various aspects of a fruit
or vegetable for sorting, unlike other food sorting machines that only sort low
quality fruits and veggies from good ones.
Food Processing Automation:
Food
processing is not fully automated in many supply chains as they need human
employees for most of their functions. Despite the best precautions, it is
however, difficult to preserve full hygiene. By automating their processes as
much as possible, food processing companies will guarantee full hygiene and
high food quality. They can use AI-powered robotic equipment to accurately
perform complex human tasks, such as packaging. AI Automating foods production
can increase high quality food and ensure fine safety.
Maintaining Cleanliness:
It
is a major concern in food factories to preserve cleanliness. Many businesses
claim to be as clean as ice because their every process automated and untouched
by human hands.
According
to the University of Nottingham, the cleaning of equipment accounts for about
30 % energy and water resources of the food processing Industry. They also
claim that their AI-based sensor technology will save nearly $133 million a
year and also save time, resources, and water to clean the equipment by
50%.
In
the food industry, Artificial Intelligence role is becoming increasingly
important due to its ability to help save food that can go bad, improve hygiene
of food worker and clean processing equipment more quickly. In the end,
technology has the ability to create a healthier and more affordable food
industry for both employees and customers.
Developing New Product:
The
food processing industry is unique in its way as there are so many items a
single business can provide. It is very challenging for businesses to imagine
exactly what consumers are looking for in this market, and businesses use
advanced technology such as artificial intelligence to find out this
problem.
Gastrograph
AI claims to help food Industry to do exactly that. Their technology utilises
machine learning and predictive algorithms in order to model consumer flavour
preferences and predict how well they will respond to new tastes. To help
businesses create new products that fit their target audience's tastes, the
data can be segmented into demographic categories.
Segmentation of Food Items:
A majority
of manufacturers hire workers to perform repetitive tasks such as food
selection and categorization. The staff manually sort large volumes of food for
a clean packaging process by size and shape. In several ways, the new
developments in AI have led to the food industry. This includes food sorting,
ensuring top-notch compliance with health and safety, creating new items, and
improving the supply chain. AI basically allows procedures to be simplified,
making it easier for workers to operate and making operations more efficient.
For example, with the advent of AI-based solutions, staff may recognise the
correct potato sizes needed for French fries and potato chips accurately. The
same AI application can also sort different types of vegetables by their taste,
colour, odour, and food recipes. In addition, it can be used for quality
control to satisfy growing quality concern of consumers. The result is achieved
using core sensor technologies and cameras that can identify materials based on
colour, form, and biological features.
Introducing new recipes:
In
recipes, the number of ways in which we can mix ingredients. Adding the fact
that these ingredients can be cooked in different ways, makes cooking dishes a
field of endless possibilities. Today, we have massive online recipes
databases, which make it easy to evaluate ingredients in various cuisines.
Researchers can determine what similarities are shared between particular
kitchens.
Scientists
can determine which food components in some regions drive flavour and make a
dish famous. This basic understanding also enables intelligent algorithms to
advise chefs about new combinations of ingredients, which will ultimately
result in a wider variety of menu offers.
Conclusion
As
we all know that AI is implementing in every industry. AI bring new revolution
in Food Industry and completely change the ways of food processing with minimum
wastage and attract more consumers in the market with its uniqueness of
product. It ensures less human errors, less waste of products, costs saving,
and efficient customer services.
So
here you can see the application of Artificial Intelligence in the Food
Processing Industry, Apart from this if you want to start
your career in Artificial Intelligence and want to do a course then join “Nearlearn”.
Nearlearn is the Foremost Artificial Intelligence Training Institute in Bangalore and also the best Machine Learning Training Institute. They provide
highly skilled trainers having 10+ years of industry experience in these filed.
They provide both online training and classroom training facilities. After
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