Precision Agriculture
- 1 min
In a Nutshell
The overall goal of this project is to generate data necessary for effective utilization of UAS-based imaging techniques for crop production and weed management applications. UAS can be equipped to include multi-spectral sensors (3 to 4 bands in the visible and near-infrared/NIR range), hyperspectral sensors (Headwall’s Standard Micro-Hyperspec VNIR 380-1000 nm spectral range), thermal sensors and LIDAR (Light Detection And Ranging), among others. These sensors have a multitude of applications, in areas such as soil, crop, water and weed management in agriculture.
Key Challenges
- Imaging mission planning incorporating sensor settings
- Quantification of the growth and development of field crops as affected by soil, irrigation and crop management strategies
- Increasing reliability of the collected image quality through image pre-processing and image post processing
More Info
More information on the system I developed can be found in my Development and testing of a customized low-cost unmanned aircraft system based on multispectral and thermal sensing for precision agriculture applications-2017 paper.
Han-Hsun (Jack) Lu
A Man who loves learning and traveling