Today, you can hear a lot about AI, as there is no dearth of stories in this space. Most essentially, innovations AI have brought and is likely to bring are worthy to be praised.
While there is no end to the success and potential of this technology, AI is testing the human wisdom.
The playground is vast for this technology, and experts from all corners of the world are striving to find the use of this technology in various streams. While it is able to cure human miseries and provide a simple and easy life, from medicine to food , its utilization is being encouraged by several industries.
Yes! The food industry is also exploring its usages to provide people with better food facilities.
The Rise Of AI In Food Industry
Since, its usages have been explored by various business verticals, the food industry has taken a step toward it. This industry is embracing AI to gain an edge dynamics of many factors that make a food product successful. Besides, a number of smart mobile applications are also being developed by artificial intelligence.
Recently, IBM has unveiled its partnership with McCormick -seasonings maker to diagnose flavor territories quicker and with efficiency, with the help of AI to find out and predict the new combinations of different flavor. In this space, a million of data points can be utilized.
The fact is that development of food product is a very long process. With the help of AI, it is possible to use huge datasets of detailed agricultural information and process it faster. Altogether, machine learning can also be applied around flavor and nutrition to make various great recipes. As aromas and flavors get tracked, new other prospects can be emerged for custom food and for better flavor or nutrition.
Besides, this technology can also help in meeting rising food demand worldwide. There are an endless number of possibilities, besides the chances are there that it would help in achieving zero hunger.
This technology can also aid in analyzing growing, manufacturing, consumption data, and distribution. Besides, it can also help to make intelligent predictions and recommendations for stakeholders of this industry.
Altogether, AI and machine learning can be implemented in hundreds of market factors that can improve the stability of food supply. In fact there are numbers of ways in which this technology can be utilized, let’s take a look over the all possible uses.
Food sorting is one of the most time-consuming and strenuous processes of this industry while freshness of product is also critical measure. There are many other sorting measures, such as sorting potatoes by size since this can help manufacturers deciding which one should be made into French fries and which ones should be used for chips or hash browns. Besides, it is also possible to sort out off-color tomatoes with this technology, it will help in decreasing rejection by the retailer or consumer. Besides, it is also essential to sort out all foreign matters.
To solve all of these sorting problems, TOMRA Sorting Food creates sensor-based optical sorting solutions that deploy the capabilities of machine learning. This is an amazing system that uses various technologies and cameras & near-infrared sensors. This enables manufacturers to view food in similar way that consumers see, besides enables food sorting on the basis of that perception. On manual sorting, less waste, higher yields and better quality are the major result counts.
Cleaning Of Processing Equipment
To ensure better hygiene, careful cleaning of equipment is essential. The advanced process can be really helpful in equipment cleaning. To help in this, the researchers of University of Nottingham have made a system that utilizes AI to decrease cleaning time and resources. It is expected that this system will help in saving upto $128.8 million a year.
It is now called as Self-Optimising-Clean-In-Place, or SOCIP. This is based on ultrasonic sensing and optical fluorescence imaging that will provide food residue measuring , microbial debris in a piece of equipment. The optimization of cleaning process will also proceed after this, itself.
Enhancing the Supply Chain
AI can also improve supply chain management, and a number of business verticals are using this technology to manage their supplies. Another boosting aspect is the strictness imposed by food safety regulations authorities , owing to that companies have to be more transparent about their operations. This technology also aids in companies to test and monitor food safety products during all phases of supply chain. From creating accurate forecasts to manage pricing and inventory, it aids every phase. As it enables end-to-end tracking from farm to consumer, it provides great transparency.
These are not the only purposes to be accomplished, the most crucial aspect is transporting of food safely. It is essential to ensure that the food will reach safely to the store from the farm. Presently, Symphony Retail AI is the company that is utilizing artificial intelligence to help retailers examine the demand accurately, and ensuring that no surplus of food will accumulate so that nothing would go as waste.
Numbers of AI researches take place on the food industry. These projects have involved estimation of food demand, food security outcomes, food quality measurement, and more. While the use of this technology is also growing in the market, as numbers of companies like Techugo are exploring its potential. Soon, this technology will transform this industry. To know more about major advancements in this space, stay tuned with us.
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