Soumya Sudhakar Mechanical and Aerospace Engineering Class of 2018

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Presentation transcript:

Soumya Sudhakar Mechanical and Aerospace Engineering Class of 2018 Forecasting Smallholders’ Yields Via with in Field, Cloud-Distributed Sensing Soumya Sudhakar Mechanical and Aerospace Engineering Class of 2018

Maize in a Changing Climate

In-Field, Cloud-Distributed Sensing Aiding Crop Modeling

Trip to Zambia

Data Analysis

Data Analysis NDVI, daily max NDVI, APAR from fAPAR and fIPAR, LAI

DSSAT – Global Crop Modeling Software Decision Support System for Agrotechnology Transfer (DSSAT) Ran DSSAT with data from PulsePod vs. data from NASA POWER data for field in Zambia

Future Steps Cloud (PulsePod API) R script to clean/analyze data PulsePod in field DSSAT In-Field Cloud Distributed Sensing Based Crop Model

Acknowledgments Sincere thanks to Dr. Lyndon Estes for his guidance and support throughout the summer Gratitude to Di Tian who helped with the installation and running of DSSAT and Dr. Adam Wolf who helped with the PulsePod hardware Thanks to friends and colleagues at Zambia Agriculture Research Institute (ZARI) and Professor Tom Evans for guiding Zambia trip Thanks to Princeton Environmental Institute (PEI) for funding and support of internship