A survey on using deep learning techniques for plant disease diagnosis and recommendations for development of appropriate tools
Several factors associated with disease diagnosis in plants using deep learning techniques
must be considered to develop a robust system for accurate disease management. A …
must be considered to develop a robust system for accurate disease management. A …
[HTML][HTML] A review on deep learning in UAV remote sensing
Abstract Deep Neural Networks (DNNs) learn representation from data with an impressive
capability, and brought important breakthroughs for processing images, time-series, natural …
capability, and brought important breakthroughs for processing images, time-series, natural …
YOLOv5-Tassel: Detecting tassels in RGB UAV imagery with improved YOLOv5 based on transfer learning
W Liu, K Quijano, MM Crawford - IEEE Journal of Selected …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) equipped with lightweight sensors, such as RGB cameras
and LiDAR, have significant potential in precision agriculture, including object detection …
and LiDAR, have significant potential in precision agriculture, including object detection …
[HTML][HTML] A review on unmanned aerial vehicle remote sensing: Platforms, sensors, data processing methods, and applications
Z Zhang, L Zhu - drones, 2023 - mdpi.com
In recent years, UAV remote sensing has gradually attracted the attention of scientific
researchers and industry, due to its broad application prospects. It has been widely used in …
researchers and industry, due to its broad application prospects. It has been widely used in …
[HTML][HTML] Recent advances in image processing techniques for automated leaf pest and disease recognition–A review
LC Ngugi, M Abelwahab, M Abo-Zahhad - Information processing in …, 2021 - Elsevier
Fast and accurate plant disease detection is critical to increasing agricultural productivity in
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
a sustainable way. Traditionally, human experts have been relied upon to diagnose …
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 …
Detection and classification of soybean pests using deep learning with UAV images
This paper presents the results of the evaluation of five deep learning architectures for the
classification of soybean pest images. The performance of Inception-v3, Resnet-50, VGG-16 …
classification of soybean pest images. The performance of Inception-v3, Resnet-50, VGG-16 …
A review of UAV platforms, sensors, and applications for monitoring of sugarcane crops
Recent advancements in the application of unmanned aerial vehicles (UAVs) based remote
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
sensing (RS) in precision agricultural practices have been critical in enhancing crop health …
Automatic identification and monitoring of plant diseases using unmanned aerial vehicles: A review
K Neupane, F Baysal-Gurel - Remote Sensing, 2021 - mdpi.com
Disease diagnosis is one of the major tasks for increasing food production in agriculture.
Although precision agriculture (PA) takes less time and provides a more precise application …
Although precision agriculture (PA) takes less time and provides a more precise application …
Boost precision agriculture with unmanned aerial vehicle remote sensing and edge intelligence: A survey
J Liu, J Xiang, Y Jin, R Liu, J Yan, L Wang - Remote Sensing, 2021 - mdpi.com
In recent years unmanned aerial vehicles (UAVs) have emerged as a popular and cost-
effective technology to capture high spatial and temporal resolution remote sensing (RS) …
effective technology to capture high spatial and temporal resolution remote sensing (RS) …