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.
A&L Canada Labs Inc. is developing a UAV (Unmanned Aerial Vehicle) or drone with a multi-spectral camera for various precision agriculture applications. The multi-spectral camera has 6 bands: one in the red band, one in the blue band, one in the green band, and three in the NIR regions. The scope of this project is to develop precision agriculture products from the images acquired by the A&L Canada Labs Inc. camera. The first application is late blight disease detection over potato fields.