Research Supporting Resilient and Data-Driven Food Systems
Research at Ben-Gurion University of the Negev addresses agricultural and food system challenges that combine biological complexity, environmental constraints, and large-scale operational demands. University researchers examine how food is grown, processed, monitored, and optimized under real-world conditions.
Through BGN, companies engage with these researchers to explore applied research, improve productivity and sustainability, and connect academic insight with agri-food industry needs.
Where Academic Research Advances Agri-Food and Food Systems
Academic research at Ben-Gurion University of the Negev supports agri-food innovation by integrating biology, engineering, data analysis, and environmental science across the food value chain.
Crop science, agronomy, and biological productivity
Research addresses crop performance, stress tolerance, and productivity under diverse environmental conditions. Agricultural Technologies research supports resilient and efficient cultivation practices.
Food quality, safety, and monitoring
Researchers develop approaches for monitoring food quality, safety, and traceability across production and processing stages. Sensing and Diagnostics technologies support real-time assessment and control.
Data-driven agriculture and decision support
Academic research supports data-driven decision-making in agriculture, including yield prediction and resource optimization. Machine Learning & AI and Information and Communication Technologies enable scalable agri-food analytics.
Water, soil, and environmental interactions
Research examines interactions between water, soil, and agricultural systems, particularly in resource-constrained environments. Environmental Technologies research informs sustainable food system design.
How Companies Work with the University Through BGN
Engagements in the agri-food and food systems sector typically focus on applied research and system optimization, supported by BGN through:
- Joint research projects addressing agricultural and food system challenges
- Access to experimental farms, laboratories, and testing environments
- Research outcomes that may inform commercialization, deployment, or licensing

