Fast prediction of barley seed quality Malting companies depend on the germination capacity of the barley they buy. At the moment, their quality control relies on a time-consuming and labour-intensive procedure that involves germinating seed samples. Meluna Research is developing a non-invasive smart multi-sensor system to predict grain quality in a matter of [...]
Efficient changeovers from one batch to the next As a semi-industrial bakery supplying retail and food service companies, Holeki is used to running small batch production of its wide product range. The challenge is the many product changeovers on the production line every day. These manual line clearance processes take time and [...]
Always perfect desserts with in-line milk analysis Variations in milk quality are a daily challenge when producing the traditional creamy dessert Tocinillo de Cielo. When quality varies from batch to batch, manufacturers run the dual risk of product returns from dissatisfied consumers and poor utilisation of raw materials. This is why the [...]
Wireless efficiency comes to older machines Processing efficiency can fluctuate from day to day in older food production plants. For manufacturers, finding the root cause of such efficiency variations and correcting them is a frequent issue. This is where Finemeca comes in. Along with partner Anima Consulting, the Belgian industry 4.0 specialist [...]
Smart forecasts to cut bakery waste The bakery industry currently accounts for 31.5% of retail food waste in The Netherlands, according to a study by Wageningen University. One of the major challenges for bakeries is how to predict consumer demand so they can produce only what is needed at the right time [...]
Sustainable efficiency with Industry 4.0 A growing number of suppliers and an expanding range of end products have complicated the business at Les Vergers Du Mékong, which produces juices, jams and coffee from locally grown produce. Built on a sustainable business model, the Vietnamese company sees the transition to industry 4.0 as [...]
A digital standard for measuring taste and smell Consumer taste preferences vary from one region to the next. But, for food manufacturers, there is currently no standard for sensory evaluation. So, when samples are sent to a trained sensory panel for assessment, the scores not only reflect the preferences of just one [...]
Perfect processing needs a digital twin Variations in raw materials and processing parameters are a common challenge in food production, requiring more time and resources to be spent on quality control, food safety and traceability. DT-OptiDry digital twin is designed to overcome these issues by capturing input variability in a virtual environment [...]
Smart vision for well-trimmed sprouts Resource efficiency and quality control are key priorities for food processors. Using sensor-integrated visual inspection and sorting, SmartSprout intends to optimise both – reducing waste and manual labour and generating reliable data to secure consistent food quality and traceability. This validation project will apply smart vision technology [...]
Taking the labour out of packing fruit Fruit packing is usually a labour-intensive process associated with high costs, inconsistent packing quality and increasing difficulties with finding workers. To overcome these challenges, there is a need for a machine that can automate the packing of apples or pears in trays. This explorative project [...]
