Turning Ideas into Impact: Solving Real Operations Challenges

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About Japfa Pte. Ltd.

Headquartered in Singapore, Japfa Pte Ltd is a leading vertically integrated, industrialised agri-food company in Asia. Established in 1971, the Group has grown into one of Asia’s largest protein producers, feeding millions across the region for over 50 years. Find out more here!

Session Synopsis

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Building on the success of last year's launch of JAPFA's AI & Quantum Computing Centre of Excellence in Singapore, supported by Enterprise Singapore and the Economic Development Board (EDB), we continue to bring together applied research, technology, and industry expertise to turn ideas into practical solutions with real operational impact in integrated livestock farming.

We are on the lookout for startups and solution providers with practical, proven solutions. If you can help us advance how staple protein food are produced, we'd love to hear from you and explore how we can work together.

Japfa is seeking innovative solutions to improve corn quality assessment, moisture measurement, drying optimisation, and pest and mould monitoring across feed storage operations.

Opportunity #1: Improving the Accuracy and Representativeness of Incoming Corn Sampling and Quality Evaluation

Challenges: Moisture is currently measured manually, which can lead to variation in results and makes it difficult to calculate storage shrinkage accurately. Dryer settings rely on operator experience more than on consistent information from each incoming load. Quality assessment processes also depend on manual sampling and testing, which can introduce variability and limit the speed and consistency of decision-making. In addition, bulk deliveries can vary in composition, while the pneumatic probe used for sampling is less effective when the material is not free-flowing. As a result, the sample used for acceptance decisions may not fully represent the entire load.

Impact:These measurement and sampling limitations can affect the accuracy of shrinkage analysis and the consistency of dryer performance. Variability in sampling and quality assessment may also reduce confidence in the information available for intake and processing decisions. Strengthening the accuracy, representativeness, and timeliness of incoming-load evaluation would help improve operational efficiency, process consistency, and control over one of the largest raw-material streams in feed production.

Success Criteria: Success will be measured by the ability to consistently obtain representative load-level quality data prior to acceptance, with transparent accuracy requirements and traceable sampling methods.The solution should improve confidence in intake decisions, support process optimisation, and enable accurate reconciliation of silo-level shrinkage against received volumes.

Scope: Corn at intake, drying and storage. These are consecutive stages of one path rather than three separate problems, and solutions addressing any single stage are welcomed and should say which.

Opportunity #2: Insects, rodents and mould affect stored feed material in silos andwarehouses, with losses identified when quality declines

Challenge: Tribolium beetle populations can increase in silos and warehouses, particularly during seasonal surges that require proactive monitoring and management. Insect activity and mould growth can reduce storage life and affect the quality of stored material. Variations in the moisture content of corn entering the silo can also reduce dryer efficiency and create conditions that support infestation. Impact. Pest and mould activity can affect both the quality and quantity of stored corn and broken wheat, resulting in recurring financial impact. Because pest pressure is seasonal and recurrent, effective monitoring and preventive measures are needed to manage potential losses consistently from one storage cycle to the next.

Success Criteria: Establish a measured infestation level for each silo and season, supported by consistent monitoring rather than inferred after the fact, and quantify the material affected by pests and mould over each storage cycle.

Scope: Stored feed material degrading biologically in silos and warehouses. Moisture at intake is included because it creates the conditions an infestation needs; it also appears in Statement 1, where it is a measurement problem rather than a pest one.

Interested in collaborating? Pitch your solutions here!