Sabrina Zhang
Foreage is a monitoring system that uses hyperspectral image processing to diagnose and detect diseases among crops in the earliest stages. Read more
Sabrina Zhang is an entrepreneur and researcher from Los Angeles, California. She currently studies at the Wharton School of the University of Pennsylvania where she is pursuing her passions for business, innovation, and science.
After witnessing the wildfires that took over California in 2020, Sabrina was motivated to learn more about climate change and found herself invested in understanding the implications of global warming on agriculture and the food chain. The more she researched, the more Sabrina was inspired to help save traditional farming where environmental changes were spiking diseases, malnourishing crops, and increasing food waste.
Sabrina's solution, Foreage, leverages hyperspectral image processing to monitor the health of crops. With the support of O'Shaughnessy Ventures, she hopes to develop her MVP and take the next steps in R&D to bring the product to life.
Outside of her entrepreneurial endeavors, Sabrina is an avid food enthusiast, traveler, and performing artist.
Top Goal
My top goal is to create a demo so that people can visualize the value that this product brings. For example, if I was able to simulate the image processing capabilities with lower quality cameras an in an indoor setting, that would be extremely valuable in showing why the investment in hyper spectral imaging is necessary to achieve the full product concept.
Project Updates
July 2024
Develop relationships with IoT4Ag imaging team. Read more
July 2024
Sabrina Zhang
Went well:
- Develop relationships with IoT4Ag imaging team
- Meetings lined up
- Closed deal in agtech co based in China to better understand ag dynamics abroad
To improve:
- Identify collaboration opportunities with IoT4Ag
- Consolidate findings in write up analyzing business models and competitive landscape
Looking for:
- Experienced image processing researchers
- Feasibility/timeline guidance - what does penetration realistically look like?