African Lovegrass Segmentation with Artificial Intelligence Using UAS-Based Multispectral and Hyperspectral Imagery

P Keerthinathan, N Amarasingam, JE Kelly, N Mandel… - Remote Sensing, 2024 - mdpi.com
The prevalence of the invasive species African Lovegrass (Eragrostis curvula, ALG
thereafter) in Australian landscapes presents significant challenges for land managers …

A New Lunar Lineament Extraction Method Based on Improved UNet++ and YOLOv5

P Yan, J Liang, X Tian, Y Zhai - Sensors, 2024 - mdpi.com
Lineament is a unique geological structure. The study of Lunar lineament structure has great
significance on understanding its history and evolution of Lunar surface. However, the …

Polar Region Climate Dynamics: Deep Learning and Remote Sensing Integration for Monitoring Arctic and Antarctic Changes

SP Maniraj, JD Rose, R Arunachalam… - Remote Sensing in …, 2024 - Springer
The polar regions of the Earth, specifically the Arctic and Antarctic, play a pivotal role in
regulating the planet's climate systems. These regions are highly sensitive to climate …

[PDF][PDF] Optimizing Deep Learning Models for Climate-Related Natural Disaster Detection from UAV images and Remote Sensing Data

K VanExel, S Liu, S Sherchan - 2025 - preprints.org
This research project involves a comprehensive approach to utilizing artificial intelligence
(AI), machine learning (ML), & deep learning (DL), for detecting climate change related …

[PDF][PDF] Contemporary Technologies and Application Areas in Smart Agriculture: Methods, and Case Studies from a 2024 Perspective

I CINAR, YS TASPINAR - AGRI-INTELLIGENCE - researchgate.net
The use of artificial intelligence (AI) technologies in agriculture stands out as one of the most
important innovations of our time. These innovative approaches, which replace traditional …