How Artificial Intelligence Can Help Food Manufacturers Feed the World?

Abstract:

The paper presents findings of artificial intelligence enhancing the food industry and also reveals the use of AI in food industry and the important need of food industry and technology to work together. The purpose of this paper is to find the problems that food industry faces. This paper tells how the interpretations are made in order to meet that challenges. Now the Consumers are seeking foods aligned with values and they aren’t willing to compromise on taste, worth or convenience. So, the challenge for the industry moving forward are going to form healthy, eco-friendly made foods that deliver on taste and price worth. Luckily, the plant-based foods that meet these criteria are trending with customers, and there are huge opportunities for the AI to enhance the industry. The food industry use AI for sorting the potatoes according to the size to produce tasty and good French fries and chips. Implementation of artificial intelligence in this problem helps the food industries to match the consumer needs and also gives them healthy food.

INTRODUCTION

Top applications in food industry

        AI and machine learning are the foremost mentioned topic for quite a while currently. the employment of such tools was restricted to the digital world and technology. However, recently it's created its means into multiple sectors together with education, healthcare, finance, marketing, media, gaming, and transportation. Likewise, the food business is additionally catching up to the advances in AI.

Sorting food

        One of the foremost long processes in any facility that receives recent turn out is sorting. as an example, sorting potatoes by size will facilitate makers decide which of them ought to be created into good potato chips or hash browns. finding out off-colour tomatoes can facilitate decrease rejection by the distributer or shopper. And, of course, all foreign matter must be sorted out furthermore.
That’s why TOMRA Sorting Food develops sensor-based optical sorting solutions with machine learning capabilities. The systems use numerous technologies, together with cameras and near-infrared sensors, to “view food within the same method that customers do” and type it supported that perception. The result's fewer hours spent on manual sorting, higher yields and fewer waste, and higher quality which helps the consumers to get tasty and healthy food.

Ensuring employees follow personal hygiene procedures

In a food plant rather like during a room, smart personal hygiene is critical to confirm food is safe — and also the facility is compliant.
Last year, a technology company signed an enormous deal to supply associate AI-powered answer for rising personal hygiene among food employees in China. The system, which may be utilized in restaurants still as producing facilities, uses cameras to observe employees, then employs facial-recognition and object-recognition package to see whether the employees in the unit area are wearing hats and masks PRN by food safety law. If it finds a violation, it extracts the screen pictures for review. in step with the company’s promulgation, the accuracy of this technology is quite 96%

2.1 Artificial Intelligence in creating good products

         "Machines manufacturing French fries can struggle to deliver a consistent product because of the natural variation that potatoes have in size and shape. A machine will always try to make the same product regardless of the shape and size of the potato that went into the processing line. This uniform approach to food processing can create a great deal of unnecessary waste as you then have fries which are too short or too thin.

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(2.1 example- sorting potatoes machine according to sizes)