Big Data & Small Farmers: Leveraging Data Science to Inform Best Farming Practices in India
Big Data & Small Farmers: Leveraging Data Science to Inform Best Farming Practices in India
Big Data & Small Farmers: Leveraging Data Science to Inform Best Farming Practices in India
Program: Dow Distinguished Awards
All Dow Distinguished Awards projects »
Team members
Pavel Azgaldov, Shamitha Keerthi, Brian Wang, Adithya Dahagama, Hassan Bukhari, Rachel Jaffe, Samhita Shiledar, Stacy Pancratz
Adviser
Peter Adriens
Project Summary
Rural households in semi-arid Telangana, India have been farming the same lands for generations. It is imperative for farmers to focus on risk management under resource constrained conditions and uncertain times. Our project proposes to harness the power of data to inform both risk management and local best management practices for small landholding farmers in India. The scope of this project includes data collection from individual farmers in the State of Telangana, India, to determine nutrient management practices. Using data science, we seek to tease out relationships between productivity, nutrient management and exogenous factors for rural villages in this region. The overarching objective of the project is to design and establish a framework to collect and analyse spatial and temporal high resolution farming data on a regional or national scale to subsequently leverage big data science to inform nutrient management practices among small farmers.