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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 …
sensors and software, UAVs have gained popularity among precision agriculture …
Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review
Precision agriculture and Smart farming have become the essential backbone for
sustainable agricultural production by leveraging cutting edge remote sensing and …
sustainable agricultural production by leveraging cutting edge remote sensing and …
UAV-YOLOv8: A small-object-detection model based on improved YOLOv8 for UAV aerial photography scenarios
G Wang, Y Chen, P An, H Hong, J Hu, T Huang - Sensors, 2023 - mdpi.com
Unmanned aerial vehicle (UAV) object detection plays a crucial role in civil, commercial, and
military domains. However, the high proportion of small objects in UAV images and the …
military domains. However, the high proportion of small objects in UAV images and the …
A survey on deep learning and its impact on agriculture: challenges and opportunities
M Albahar - Agriculture, 2023 - mdpi.com
The objective of this study was to provide a comprehensive overview of the recent
advancements in the use of deep learning (DL) in the agricultural sector. The author …
advancements in the use of deep learning (DL) in the agricultural sector. The author …
[HTML][HTML] A review on UAV-based applications for plant disease detection and monitoring
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …
resource management, and environmentally friendly practices. Recent advances in remote …
A comprehensive survey of unmanned aerial vehicles detection and classification using machine learning approach: Challenges, solutions, and future directions
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, map** and surveying …
including disaster relief, aerial photography and videography, map** and surveying …
Identification of plant leaf diseases by deep learning based on channel attention and channel pruning
R Chen, H Qi, Y Liang, M Yang - Frontiers in plant science, 2022 - frontiersin.org
Plant diseases cause significant economic losses and food security in agriculture each year,
with the critical path to reducing losses being accurate identification and timely diagnosis of …
with the critical path to reducing losses being accurate identification and timely diagnosis of …
[HTML][HTML] Drones in precision agriculture: A comprehensive review of applications, technologies, and challenges
In the face of growing challenges in modern agriculture, such as climate change,
sustainable resource management, and food security, drones are emerging as essential …
sustainable resource management, and food security, drones are emerging as essential …
A survey of unmanned aerial vehicles and deep learning in precision agriculture
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
(Agri-robots), and artificial intelligence, modern agriculture is transforming from labor …
Detection of tea leaf blight in low-resolution UAV remote sensing images
G Hu, R Ye, M Wan, W Bao, Y Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The accurate detection of tea leaf blight (TLB) from low-resolution (LR) images of tea plants
is a challenging task. The small size, high density, and blurred edge details of diseased tea …
is a challenging task. The small size, high density, and blurred edge details of diseased tea …