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Galaktion Volkov
Galaktion Volkov

How Next-generation Supply Chain Tracking Is Improving Quality Assurance In The Cannabis Industry. C



The food processing and handling industry is the most significant business among the various manufacturing industries in the entire world that subsidize the highest employability. The human workforce plays an essential role in the smooth execution of the production and packaging of food products. Due to the involvement of humans, the food industries are failing to maintain the demand-supply chain and also lacking in food safety. To overcome these issues of food industries, industrial automation is the best possible solution. Automation is completely based on artificial intelligence (AI) or machine learning (ML) or deep learning (DL) algorithms. By using the AI-based system, food production and delivery processes can be efficiently handled and also enhance the operational competence. This article is going to explain the AI applications in the food industry which recommends a huge amount of capital saving with maximizing resource utilization by reducing human error. Artificial intelligence with data science can improve the quality of restaurants, cafes, online delivery food chains, hotels, and food outlets by increasing production utilizing different fitting algorithms for sales prediction. AI could significantly improve packaging, increasing shelf life, a combination of the menu by using AI algorithms, and food safety by making a more transparent supply chain management system. With the help of AI and ML, the future of food industries is completely based on smart farming, robotic farming, and drones.




How next-generation supply chain tracking is improving quality assurance in the cannabis industry. C


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According to McKinsey, AI can resolve such type of issues and disengage huge amount of opening by dipping food waste by the 2030. Such surprising statistics can be accomplished by launching supplementary regenerative leisure farming practices [51]. It shows that humans are not utilizing the available resources efficiently. The traditional methods of farming can be replaced by the smarter farming methods. In this, various sensors are deployed and collect the information. The collected information is processed with ML algorithms, and then appropriate decisions are taken. By using these, farmers can make decisions the fastest and accurate. Here are some suggested ways to reduce the food waste with AI:(i)While several elucidations examine the maturity of the fruits, others stature out what microorganisms can boost fruits and vegetables development not including the participation of artificial fertilizers.(ii)Manufacturers can acquire purge of ground examination, gaining from compensation of the artificial intelligence that will keep a considerable amount of capital.(iii)The farm-based food supply chain management uses computer vision technology to manage and examine each process; then, the food waste will be decreased rapidly.(iv)Artificial-intelligence-based food tracking systems will enable us to sell food ahead of it turning into waste. By using this, more farmers and people can connect for buying the food products.


Veeva QualityOne, a unified cloud-based application, enables real-time collaboration and transparency to ensure compliance and agility across your entire supply chain. QualityOne is a cloud-based Quality, Health, Safety and Environment (QHSE) management software solution that makes it possible to easily and effectively manage document control and training, quality processes and HSE events in a single application.


Good Agricultural Practices (GAPs) and Good Handling Practices (GHPs) are voluntary programs that you may wish to pursue for your operation. The idea behind these programs is to ensure a safer food system in light of previous outbreaks of foodborne illnesses resulting from contaminated products. Also, several major food distribution chains are beginning to require GAP- and GHP-certified products from their producers. Many of the requirements concern worker hygiene, use of manure, and the quality of the water supply used for irrigation and washing produce.


GEP NEXXE is another inventory solution loaded with next-generation features and capabilities. Built to streamline supply chain operations, GEP NEXXE offers inventory and warehouse management capabilities. It provides an end-to-end approach to planning, visibility, and execution of your supply chain operations. The solution also allows you to gain complete and real-time access to inventory levels across all your warehouse locations.


Description: Year round UK glasshouse production of tomatoes for supermarkets is highly intensive. Although this production is highly controlled it is still difficult to accurately predict picking yields which has an impact on the food supply chain. This inaccuracy requires businesses to continually react to this inefficacy. Over-prediction results in costly imports, whilst under-prediction incurs financial losses from the disposal of surplus fruit. There is considerable potential to reduce these losses and increase the proportion of UK sales by improving the accuracy of yield forecasts. The project will develop an imaging system, TomVision, and mathematical models, PredictTomPro, to more accurately predict weekly yields and deliver significant savings in import costs and waste. Our aim is to predict weekly harvests to 10% of actual, which will generate 30,000/ha extra income per annum for producers and for the developers the anticipated sales of these tools of 1.3 million / 11.3 million / 26 million (UK/EU/Worldwide) after 5 years.


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