Developing a small UAV platform to detect sheath blight of rice Conference Paper uri icon

abstract

  • 2017 IEEE. Small UAVs (Unmanned Aerial Vehicles) have high potential to be used to detect and manage the diseases of various crops because they are low cost and user-friendly. Objective of this study is to develop a UAV platform to detect sheath blight in rice in the field. A quadrotor UAV equipped with high-resolution RGB-/multispectral camera was developed and images from these sensors were collected over research plots of different rice varieties with different levels of sheath blight. The ground truth-NDVIs (Normalized Difference Vegetation Indexes) of these rice varieties were also collected. Through comparison and analysis, there appeared to have a good correlation between the ground truth-NDVIs values and the NDVI values extracting from the UAV images. The determination coefficient and Root Mean Square Error (RMSE) are 0.907 and 0.0854, respectively. The results indicate that the multispectral images even provide higher accuracy to differentiate different levels of sheath blight. Therefore, small UAV platform mounted the proper sensors can effective detect the development of sheath blight in rice.

name of conference

  • 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

published proceedings

  • 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

author list (cited authors)

  • Zhang, D., Zhou, X., Zhang, J., Huang, L., & Zhao, J.

publication date

  • January 1, 2017 11:11 AM

publisher