[HTML][HTML] Flying free: A research overview of deep learning in drone navigation autonomy

T Lee, S Mckeever, J Courtney - Drones, 2021 - mdpi.com
Drones | Free Full-Text | Flying Free: A Research Overview of Deep Learning in Drone
Navigation Autonomy Next Article in Journal Unmanned Autogyro for Mars Exploration: A …

Potato leaf disease classification using deep learning approach

RA Sholihati, IA Sulistijono… - 2020 international …, 2020 - ieeexplore.ieee.org
Potato is one of the staple foods that widely consumed, becoming the 4th staple food
consumed throughout the world. Also, the world demand for potato is increasing …

Potato Leaf Disease Recognition and Prediction using Convolutional Neural Networks

H Ghosh, IS Rahat, K Shaik, S Khasim… - EAI Endorsed …, 2023 - publications.eai.eu
Potato crops are vital to global food security and economy, yet they are vulnerable to a wide
range of leaf diseases that can significantly impact yield and quality. Rapid diagnosis and …

Transforming ground disaster response: Recent technological advances, challenges, and future trends for rapid and accurate real-world applications of survivor …

AJ Soto-Vergel, JC Velez, R Amaya-Mier… - International Journal of …, 2023 - Elsevier
Recent technological advancements, encompassing cutting-edge sensors, drones, and AI
systems, present novel prospects for enhancing survivor detection in disaster scenarios …

Training a disaster victim detection network for UAV search and rescue using harmonious composite images

N Zhang, F Nex, G Vosselman, N Kerle - Remote Sensing, 2022 - mdpi.com
Human detection in images using deep learning has been a popular research topic in recent
years and has achieved remarkable performance. Training a human detection network is …

Natural disasters intensity analysis and classification based on multispectral images using multi-layered deep convolutional neural network

M Aamir, T Ali, M Irfan, A Shaf, MZ Azam, A Glowacz… - Sensors, 2021 - mdpi.com
Natural disasters not only disturb the human ecological system but also destroy the
properties and critical infrastructures of human societies and even lead to permanent …

Performance evaluation of plant leaf disease detection using deep learning models

G Singh, KK Yogi - Archives of Phytopathology and Plant …, 2023 - Taylor & Francis
Plant diseases have a serious impact on production, and hence they must be detected and
recognised at early stages. Smart firming using deep learning can automatically identify …

Automatic aerial victim detection on low-cost thermal camera using convolutional neural network

MI Perdana, A Risnumawan… - … on community-centric …, 2020 - ieeexplore.ieee.org
The first thing to do by the search-and-rescue (SAR) team after the disaster occurred is to
find the location of the victim quickly. Thus the loss of lives can be reduced. After the …

Surveillance system for illegal fishing prevention on UAV imagery using computer vision

A Prayudi, IA Sulistijono… - 2020 International …, 2020 - ieeexplore.ieee.org
Indonesia has a vast ocean with an abundance of fishes with its natural environments.
Those abundances have to be conserved to prevent further destruction of the environment …

Smart Victims Detection in Natural Disaster using Deep Learning

MAI Mashuri, MZS Hadi, RW Sudibyo… - 2022 International …, 2022 - ieeexplore.ieee.org
Nowadays, artificial intelligence has been widely implemented in agriculture, animal
husbandry, education, and many more. The most widely developed model at this time is the …