The application of UAV-based optical and thermal imagery on the estimation of intra-field soil and crop parameters

The efficient monitoring of soil and crop parameters is essential for crop stress evaluation and yield forecast in agriculture, yet most remote sensing studies focus on regional-scale soil and crop parameters estimation using satellite data. Satellite remote sensing is difficult to obtain both high spatial and temporal resolution data with a low-cost in field-scale. Currently, UAV-based remote sensing is a flexible and reliable approach could provide proper data for intra-field monitoring. This study proposes real-time and low-cost approaches for soil and crop parameters monitoring using UAV-based remote sensing in field scale.

Faculty Supervisor:

Jinfei Wang

Student:

Yang Song

Partner:

A&L Canada Laboratories Inc

Discipline:

Geography / Geology / Earth science

Sector:

Agriculture

University:

Program: