1. 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

2. Maize in a Changing Climate

3. In-Field, Cloud-Distributed Sensing Aiding Crop Modeling

4. Trip to Zambia

5. Data Analysis

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

7. 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

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

9. 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