11h00 Session 1: Data collection and data platforms for the primary sector
- DjustConnect: Safe and efficient data sharing, with respect for farmers and horticulturists.
The DjustConnect platform makes it possible for everyone in the agri-food chain to gain correct access to her/his available data. By feeding smart applications with data, administration becomes easier and advice tools become better.
Bart Minne, Business Developer, ILVO
- The WatchITgrow data platform and how the entire agricultural sector benefits from digitization
WatchITgrow is an online platform to support growers to monitor arable crops and vegetables in view of increasing yields, both qualitatively and quantitatively. WatchITgrow uses various types of data starting with satellite data combined with e.g. weather data, soil data, IoT data and field data provided by the grower. These data will be combined using new technologies such as big data analytics and machine learning to provide growers with more timely and personalized advice.
Jürgen Decloedt, VITO & Christophe Vermeulen, Belgapom
- LINKDAPA: Nudging wheat farmers towards greater adoption of more sustainable farming through precision agriculture
LINKDAPA uses multiple data sources to co-create with farmers and their advisers, crop management zones for an easy-to-use precision agriculture (PA) software platform. Algorithms are being developed predicting (i) variability within individual fields in the potential yield and quality of wheat, (ii) probabilities that yield/quality in different parts of each field exceed farmer-specified thresholds, and (iii) in 2022, reduction in negative environmental impacts such as greenhouse gas emissions likely to be achieved by adopting precision fertiliser application. The project has explored farmers’ willingness to pay and end-user confidence, with a view to the EIT Food Rising Star, Agricolus SRL, commercialising the software platform in Italy, Germany and the UK.
Alistair Murdoch, Professor of Weed Science, University of Reading
- APIC: Development of technologies based on robotization and artificial intelligence to automate, optimize and diagnose plant crops in a completely controlled environment (“plant factories”). Such optimization will be achieved through the combination of innovative techniques for the morphological, physiological and chemical imaging of crops.
Olivier Debauche, GDTech
13h30 Session 2: Data collection, data management and data infrastructures for the food processing industry
- S3FOOD voucher project DT-OptiDry (ES): Digital twin for optimisation of manufacturing processes in agri-food companies
The project DT-OptiDry is dedicated to the development and validation of a Digital Twin (DT) for the maturation process in cured-smoked products. Through the development of Machine Learning models, the Digital Twin aims at the optimization of environmental parameters of the smoking process in order to reduce energy consumption, improve traceability and optimize process control by predicting objective and measurable parameters required for each desired final product. The project was executed in collaboration with Embutidos Maybe, a traditional sausages producer.
Olaya Muñoz Azcarate, Director of 5.0 Bioengineering for Agrifood, UPintelligence
- S3FOOD voucher project BBISQCUIT (BE): Better Biscuits using Intelligent Software and Cameras for Quality Control Using Innovative Technology
The BBISQCUIT project combines the expertise of artisanal cookie bakery La Confiance, AI-based software company for industry Yazzoom and oven builder Goldstream. The objective of the project is to build an automatic control of the oven settings based on computer vision and using adaptive control methods to respond to variations in environment, recipe and ingredients. Overall, this will lead to less waste and energy consumption and higher quality.
Leo Borms , Founder, La Confiance
David Verstraeten, Engineering manager, Yazzoom
- S3FOOD voucher project SAFETRACK (ES) - demonstration of a crossover food safety and yield monitorisation platform
Validation of a transversal monitoring and data analysis platform for the tuna processing value chain. Based on purchasing conditions and IoT sensing of freezing and logistic conditions, it is possible to model the factors affecting process efficiency (shrinkage) and prescribe best practices.
Alvaro Dosil, CEO, Triple Alpha
- DigiFresh - turning data into savings
DigiFresh will implement digital twins to facilitate chain management for reducing losses of fruit and vegetables.
Maarten Hertog, MeBioS, KU Leuven
14h50 Session 3: Data further downstream - at the retailer, food service and the consumer – and data in the value chain
- SmartWithFood – The personalised food coach
In order to empower consumers to make the right choices, we as a sector need to provide maximum transparency and this in a relevant way. SmartWithFood helps to make healthier choices and serves as a bridge between the food industry and the consumer, in a transparent and scientifically based manner.
Ignace De Nolin, CEO, SmartWithFood
- FRIENDS: Reduce Food Waste - Food Retail Increases end of Date Sales that Reduces Food Waste
Metro, its Innovation partner NX Food and Wasteless are solving one of food retail's biggest challenges: the balance of stocking the shelf well. If a wholesaler doesn't stock enough, it loses revenues. If it stocks too much, the food waste will hurt its margins. Food Waste is the #1 solution to reduce our foot print with impact, scale and profit. With hundreds of different products that compete and complement, AI helps to find the sweet spot of price and time, to prevent products from expiring on the shelf. It's a winning business case, where the retailer improves the bottom line, and customer save both their wallet and the planet.
David Kat, Senior Vice President Business Development, Wasteless - Sell More, Waste Less
- S3FOOD voucher project Smart Bakery 4.0 (NL) - 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 and in the right place. This is why Fuite Bakery initiated its ‘demand forecasting and smart processing’ project to reduce bakery waste by 5% in the retail sector – both from traditional and online outlets. Fuite Bakery is drawing on the expert knowledge of Silowacht BV to develop the optimum automation system for this purpose. Online retailer Picnic Technologies and supermarket chain Boni Markten are supporting the project by providing their product demand data.
Klaas Fuite, CEO, Bakkerij Fuite