Recent advances in crop disease detection using UAV and deep learning techniques

TB Shahi, CY Xu, A Neupane, W Guo - Remote Sensing, 2023 - mdpi.com
Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …

Adoption of Unmanned Aerial Vehicle (UAV) imagery in agricultural management: A systematic literature review

MA Istiak, MMM Syeed, MS Hossain, MF Uddin… - Ecological …, 2023 - Elsevier
Precision agriculture and Smart farming have become the essential backbone for
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 …

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 …

[HTML][HTML] A review on UAV-based applications for plant disease detection and monitoring

L Kouadio, M El Jarroudi, Z Belabess, SE Laasli… - Remote Sensing, 2023 - mdpi.com
Remote sensing technology is vital for precision agriculture, aiding in early issue detection,
resource management, and environmentally friendly practices. Recent advances in remote …

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 …

[HTML][HTML] Drones in precision agriculture: A comprehensive review of applications, technologies, and challenges

R Guebsi, S Mami, K Chokmani - Drones, 2024 - mdpi.com
In the face of growing challenges in modern agriculture, such as climate change,
sustainable resource management, and food security, drones are emerging as essential …

A survey of unmanned aerial vehicles and deep learning in precision agriculture

D Wang, M Zhao, Z Li, S Xu, X Wu, X Ma… - European Journal of …, 2025 - Elsevier
In the wake of significant advances in agronomy, biology, informatics, agricultural robots
(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 …