Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques

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...

Bibliografiset tiedot
Päätekijät:	Tej Bahadur Shahi, Cheng-Yuan Xu, Arjun Neupane, William Guo
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	MDPI AG 2023-05-01
Sarja:	Remote Sensing
Aiheet:	UAV crop disease drone deep learning remote sensing detection
Linkit:	https://www.mdpi.com/2072-4292/15/9/2450

Samankaltaisia teoksia

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A Modified YOLOv4 Deep Learning Network for Vision-Based UAV Recognition
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UAV-Based Vegetation Indices to Evaluate Coffee Crop Response after Transplanting Seedlings Grown in Different Containers
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Recognition of Banana Fusarium Wilt Based on UAV Remote Sensing
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Fusion of UAV-Acquired Visible Images and Multispectral Data by Applying Machine-Learning Methods in Crop Classification
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Drainage dimensional measurement by using unmanned aerial vehicle (UAV) photogrammetry approach /
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Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning
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Assessment of UAV-Based Deep Learning for Corn Crop Analysis in Midwest Brazil
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