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Angela Tsao

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Graduate Student Research Funding | 2021 - 2022 Academic Year

Scalable Mapping of Cashew Plantations in Mozambique for Climate-Smart Tree Cropping

Tree crops play an important role in the future of sustainable development, by providing an income stream for millions of households. This project will develop methods in computer vision to analyze smallholder cashew plantations in Mozambique. The process begins with collection of initial field data about location and other metrics that are valuable for tracking management practices, growth, and carbon sequestration potential. This ground truth data will be coupled with satellite imagery to build machine learning models that map the extent of cashew farming in Mozambique, providing critical insights into how business and policy interventions can be spatially targeted.

Angela Tsao, Department of Earth System Science

angela tsao

Angela Tsao is a PhD student in Earth System Science at Stanford. Within the Center for Food Security and the Environment, she uses machine learning and computational approaches to research environmental and social sustainability of agricultural systems. Her dissertation research focuses on the study of trees outside forests, which hold significant potential as a natural climate solution and sustainable development strategy. Tsao received her BS computer science and MS artificial intelligence at the University of Georgia.

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