• Lecture time: Tuesday: 12:30:00 - 13:20:00 ET
  • Lab time: Thursday: 11:30:00 - 13:20:00 ET
  • Domain: Digital Agriculture
  • Keywords: Big Data, Business Intelligence, Crop Monitoring, Data Analysis, Disease Detection, Precision Agriculture, Predictive Analysis
  • Tools: AWS, Docker, java, Neural Network, Python, R, Tableau, Time Series Data Analysis
  • Citizenship: Open to all students
Summary

Analyzing satellite images to uncover the risk of fungi using time series analysis and artificial intelligence. Enhance AgRPA Crop Monitoring platform by working with extensive datasets sourced from satellite images, aerial flights, and climate records.

Description

Please see the PDF for a detailed project description. When registering for this project in UniTime, look for 'AgRPA' in the Note section, and select the appropriate CRN.