Advancements in UAV Remote Sensing for Agricultural Yield Estimation: A Systematic Comprehensive Review of Platforms, Sensors, and Data Analytics
Traditional yield estimation approaches are quite tedious, time-consuming, and labor-
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
intensive. Unmanned aerial vehicles (UAVs) present an exciting opportunity to estimate crop …
Combining Local Knowledge with Object-Based Machine Learning Techniques for Extracting Informal Settlements from Very High-Resolution Satellite Data
KG Alrasheedi, A Dewan, A El-Mowafy - Earth Systems and Environment, 2024 - Springer
The classification of informal settlements using very high-resolution (VHR) satellite data and
expert knowledge has proven very useful for urban planning. The objective of this work was …
expert knowledge has proven very useful for urban planning. The objective of this work was …
Comprehensive Investigation of Unmanned Aerial Vehicles (UAVs): An In-Depth Analysis of Avionics Systems
The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …
extended applicability in diverse domains, including surveillance, commerce, military, and …
An Autonomous Tracking and Landing Method for Unmanned Aerial Vehicles Based on Visual Navigation
B Wang, R Ma, H Zhu, Y Sha, T Yang - Drones, 2023 - mdpi.com
In this paper, we examine potential methods for autonomously tracking and landing multi-
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …
A spatio-temporal-spectral fusion framework for downscaling Sentinel-2 images using UAV images
W Zhang, Y Li - International Journal of Remote Sensing, 2024 - Taylor & Francis
ABSTRACT The Sentinel-2 multispectral (S2-MS) images, equipped with three red-edge
(Red-E) bands, serve as an optimal data source for vegetation monitoring. However, its …
(Red-E) bands, serve as an optimal data source for vegetation monitoring. However, its …
Analysing the Spatial Patterns of Agricultural Intensification and Its Implications for Land Degradation and Water Resource Management Using Remote Sensing and …
J Xing, B Sanim, R Gauhar - AgBioForum, 2024 - agbioforum.org
This study examines the spatial patterns of agricultural intensification and their associations
with land degradation and water resource management within agroecosystems. It focuses …
with land degradation and water resource management within agroecosystems. It focuses …
Remote Sensing Revolution: Mapping Land Productivity and Vegetation Trends with Unmanned Aerial Vehicles (UAVs)
S Harle, A Bhagat, AK Dash - Current Applied Materials, 2024 - benthamdirect.com
This review paper offers a comprehensive exploration of the multifaceted applications of
Unmanned Aerial Vehicles (UAVs) in various domains, showcasing their transformative …
Unmanned Aerial Vehicles (UAVs) in various domains, showcasing their transformative …
[PDF][PDF] The use of Unmanned Aerial Vehicles (UAV) Remotely Sensed Data and Machine LearningTechniques to Predict Maize Yield
CM Dlamini - 2024 - researchgate.net
Given the anticipated growth in the human population, and the challenges posed by climate
change, prioritising farming techniques that enhance crop productivity to meet the rising food …
change, prioritising farming techniques that enhance crop productivity to meet the rising food …
An Autonomous Tracking and Landing Method for UAV Based on Visual Navigation
B Wang, R Ma, H Zhu, Y Sha, T Yang - 2023 - preprints.org
In this paper, we examine potential methods for autonomously tracking and landing multi-
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …
rotor unmanned aerial vehicles (UAVs), a complex yet essential problem. Autonomous …