The New Age of Food Industries
Technology might not be the first thing that comes to your mind when you think about the food industry. However, it has become an integral part of it. Companies today understand how important it is for them to get on board with advanced technology to not only thrive but survive in the current competitive food industry.
As such, we are now witnessing several companies in the food industry employ technology like artificial intelligence platforms to streamline or automate their daily operations. We are living in a world where leading manufacturers now use data processing and robotics to produce food and beverages.
Manufacturers can also expect to lower productions costs, improve the quality of food, practice better hygiene, improve packaging and do much more by relying on such modern tech. This is precisely why AI in food industry is so popular nowadays and could very well become the norm in the next few years.
Suffice to say, artificial intelligence and machine learning have a significant role to play in shaping the present and future of our food industry.
Artificial Intelligence and Machine Learning Solutions
Artificial Intelligence, or AI, refers to technology that can mimic human thinking and behavior. Computer technology or software integrated with AI makes it capable of proactively learning from human experiences and performing tasks almost like a human would. Machine Learning, or ML, on the other hand, is a part of AI that can self-learn by referring to the data it receives regularly without being programmed.
Both artificial intelligence and machine learning represent an imperative evolution in technology that if applied appropriately could transform a wide range of industries, including the food one.
Types of AI/ML Solutions that are Relevant to the Food Industry
1. Predictive Maintenance
With Predictive maintenance solutions, manufacturers can avoid machinery issues without having to spend unnecessary money on frequent maintenance. Such solutions facilitate real-time monitoring of production equipment and assets, which allows manufacturers to resolve an issue even before it arises.
2. Vision Quality Inspection
AI-powered vision quality inspection systems can automate the entire quality defect detection process. Such solutions can be used to monitor food production lines in real-time to identify defects early on and divert them to be fixed immediately.
3. Production Planning Optimization
Solutions that facilitate effective production scheduling can be leveraged to effectively plan machine and manpower allocation. Manufacturing companies can forecast demand for their products and predict change orders to minimize wastage and maximize throughput.
4. Food Sorting Optimization
There are AI-based solutions today that can automate the process of sorting large amounts of food by shape and size. Such technology employs a camera and a core sensor technology that allows it to recognize material according to color, shape, and biological characteristics. By optimizing the food sorting process, these artificial intelligence platforms can improve food quality and safety.
Application of Machine Learning in Food Industry
Considering the direct benefits of AI in the food industry, machine learning helps the sector in the following four fundamental applications.
1. Supply Chain Optimization
Machine learning solutions can help companies estimate the demand for their products to optimize their pricing, transportation, and inventory strategy. This ensures more transparency and reduces wastage.
2. Food Sorting and Packaging
Machine learning solutions today can automate the otherwise rigorous process of food sorting and packaging, thus helping companies save enormous costs on human labor and accelerate the production process.
3. Hygiene Maintenance
Traditional cleaning systems were almost always inefficient when it came to maintaining hygiene. Today’s AI-driven technologies, on the other hand, leverage ultrasonic sensing to provide machine learning algorithms with data that can be used to identify debris and food particles in equipment.
4. Product Development
Machine learning technology can be used by food processing companies to analyze and identify customer behavior and needs. The resulting data can then be used to manufacture personalized products that meet those needs and help the company boost its sales.
Suffice to say, AI and machine learning in food industry have a significant role to play in the coming future. As such, it is extremely important for food manufacturing and distribution companies to adapt to such technologies quickly to enjoy a stable, lucrative business.