Taiwan (TARI) Site

Operational Implementation Plans

Plans for Next Growing Season:

  • For the coming crop year (2015‐2016), we will continue investigating the capability of RADARSAT‐2 and Sentinel‐1A data for crop identification and yield estimation. 
  • We will also collect in-situ measurements for cross-validation with the results of rice crop mapping as well as yield estimation. 
  • The next-year plan will implement crop growth models (e.g., DSSAT, Oryza) and machine learning algorithms such as neural networks and support vector machines for the rice yield estimation and forecasting.
©2015 Joint Experiment for Crop Assessment and Monitoring
© HER MAJESTY THE QUEEN IN RIGHT OF CANADA SA MAJESTE LA REINE DU CHEF DU CANADA (2015)