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UAV multispectral remote sensing for yellow rust mapping: opportunities and challenges
Wheat is threatened by various crop stresses in its life-cycle, where yellow rust is a severe disease significantly impacting wheat yield. This work aims to investigate the use of Unmanned Aerial Vehicle based multispectral remote sensing for winter wheat stress mapping caused by yellow rust disease. A simple unsupervised wheat yellow rust mapping framework is initially proposed by integrating Spectral Vegetation Indices generation, mutual information analysis and Otsu’s thresholding. A field experiment is carefully designed by infecting winter wheat with different levels of yellow rust inoculum, where UAV multispectral images are collected at the diseased stage with visible symptoms. Experimental results on the labelled dataset initially show the effectiveness of the proposed unsupervised framework for yellow rust disease mapping. Limitations of the proposed algorithm and challenges of yellow rust detection for real-life applications are also discussed.
Space-enabled Crop disEase maNagement sErvice via Crop sprAying Drones (SCENE-CAD)
Science and Technology Facilities CouncilFind out more...
- Aeronautical, Automotive, Chemical and Materials Engineering
- Aeronautical and Automotive Engineering
Published inUnmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications
Pages107 - 122
- AM (Accepted Manuscript)
Rights holder© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd
Publisher statementThis book chapter was accepted for publication in the book Unmanned Aerial Systems in Precision Agriculture: Technological Progresses and Applications. The definitive published version is available at https://doi.org/10.1007/978-981-19-2027-1_7
Book seriesSmart Agriculture (SA,volume 2)