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Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers and stakeholders for estimating traits such as crop yield and diseases. Early detection of crop disease is essential to preve...
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| Published in: | Remote sensing (Basel, Switzerland) Switzerland), 2023-05, Vol.15 (9), p.2450 |
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| creator | Shahi, Tej Bahadur Xu, Cheng-Yuan Neupane, Arjun Guo, William |
| description | Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms, sensors and software, UAVs have gained popularity among precision agriculture researchers and stakeholders for estimating traits such as crop yield and diseases. Early detection of crop disease is essential to prevent possible losses on crop yield and ultimately increasing the benefits. However, accurate estimation of crop disease requires modern data analysis techniques such as machine learning and deep learning. This work aims to review the actual progress in crop disease detection, with an emphasis on machine learning and deep learning techniques using UAV-based remote sensing. First, we present the importance of different sensors and image-processing techniques for improving crop disease estimation with UAV imagery. Second, we propose a taxonomy to accumulate and categorize the existing works on crop disease detection with UAV imagery. Third, we analyze and summarize the performance of various machine learning and deep learning methods for crop disease detection. Finally, we underscore the challenges, opportunities and research directions of UAV-based remote sensing for crop disease detection. |
| doi_str_mv | 10.3390/rs15092450 |
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| subjects | Aerial photography Agricultural production Agricultural research Artificial intelligence crop disease Crop diseases Crop yield Crop yields Crops Data analysis Deep learning detection Disease detection drone Drone aircraft Drone vehicles Estimation Image processing Information management Internet of Things Learning algorithms Machine learning Plant diseases Precision farming Radiation Remote sensing Remote sensors Sensors Taxonomy UAV Unmanned aerial vehicles Vegetation |
| title | Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques |
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