Artificial intelligence is improving the ways how the food items are produced, packed and marketed.
The Covid-19 pandemic had a powerful impact on the food business, prompting the implementation of new technology. Food firms are digitizing their manufacturing floors with the use of robotics, e-commerce, and digital food-management systems. Restaurants are also using AI technology and robots for hospitality and cooking, as well as to promote e-commerce.
Food technology trends are indicating a shift toward more sustainable and customized food options. Alternative protein sources, regional foods, and tailor-made nutrition are among them.
With the advent of mobile app development, automated processing, robotics, and big data, digital transformation in the food sector with the help of Artificial Intelligence and machine learning contributes to cost reduction and food production optimization. It aids in the processing, manufacture, and preservation of food. It delivers digital compliance documents for the food supply chain via the cloud.
AI in food processing and manufacturing
Food processing relies heavily on human labor to ensure that the manufacturing and packaging of food products proceeds properly. In order to solve food safety and time efficiency concerns, industrial automation is necessary. Artificial intelligence and machine learning algorithms are used to automate everything. Food production and delivery procedures may be handled more efficiently with the AI-based system, which also improves operational competency.
AI could improve packaging by boosting shelf life, menu combinations by applying AI algorithms, and food safety by establishing a more transparent supply chain management system. AI has other important applications in the food industry, such as soil monitoring, robo-cropping, and predictive analysis.
Furthermore, the implementation of artificial intelligence in food processing will assist in: product sorting and packaging, personal health and sanitation, decision-making systems, equipment maintenance, and demand supply chain management. In the big picture, finding more effective ways to grow and handle raw materials would help feed the world’s rising and increasing population while also reducing food waste. Simultaneously, AI is being used to manage climate change so that crops can be planted in regions where they will grow.
AI in food services and delivery
It is commonly known that applications for online food services and delivery have already established a market with significant daily traffic. These apps also collect past data in order to further engage clients by evaluating their behaviors and preferences: As a result, there are more repeat visits and orders.
With an easy and clever AI food system, they provide the best recommendations and expedite the ordering procedure. Additionally, these technologies make customers engage and have a good time with new features like voice search, self-ordering and check out, customized diet plans and purchases, among many others.
However, there are barriers and boundaries to any technological advancement. Focusing on artificial intelligence, machine learning, and deep learning, there are challenges to AI adoption, including high expenses, cultural shifts both for producers and consumers, expert skill needs, transparency difficulties, and one-track thinking. Challenges that tag along with any technological advancement, like hacking, privacy concerns, global regulations, limited knowledge and skilled professionals and picking and writing AI algorithms, will always be present.
Additionally, to match humans’ ability to empathize, interpretation, and deeper understanding, a deep learning model would need unprecedented fine tuning, hyper-parameter optimization, a large dataset, and a well-defined and accurate algorithm, as well as robust computing power, uninterrupted training on train data, and testing on test data. As a result, a large budget and global collaboration will be required, which is a long way ahead. Despite these obstacles, research into optimizing production processes with AI is ongoing. It is important to note, however, that the benefits of AI application in the food industry far outweigh the challenges.
All of the following measures will not only affect the future of the food industry but will also be used by them to combat the ongoing impact of Covid-19, resulting in more efficient, transparent, sustainable and long-term operations.
(Laksh Yadav is CEO at Cocoberry India and the views expressed in this article are his own)