[HTML][HTML] Multi-source information fusion: Progress and future

LI ** of soybean using multi-sensor data fusion and extreme learning machine
M Maimaitijiang, A Ghulam, P Sidike, S Hartling… - ISPRS Journal of …, 2017 - Elsevier
Estimating crop biophysical and biochemical parameters with high accuracy at low-cost is
imperative for high-throughput phenoty** in precision agriculture. Although fusion of data …

Data fusion and IoT for smart ubiquitous environments: A survey

F Alam, R Mehmood, I Katib, NN Albogami… - Ieee …, 2017 - ieeexplore.ieee.org
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …

Deep learning on multi sensor data for counter UAV applications—A systematic review

S Samaras, E Diamantidou, D Ataloglou, N Sakellariou… - Sensors, 2019 - mdpi.com
Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

Insole-based systems for health monitoring: Current solutions and research challenges

S Subramaniam, S Majumder, AI Faisal, MJ Deen - Sensors, 2022 - mdpi.com
Wearable health monitoring devices allow for measuring physiological parameters without
restricting individuals' daily activities, providing information that is reflective of an individual's …

Crop type classification using a combination of optical and radar remote sensing data: A review

A Orynbaikyzy, U Gessner, C Conrad - international journal of …, 2019 - Taylor & Francis
Reliable and accurate crop classification maps are an important data source for agricultural
monitoring and food security assessment studies. For many years, crop type classification …

Data fusion and remote sensing: An ever-growing relationship

M Schmitt, XX Zhu - IEEE Geoscience and Remote Sensing …, 2016 - ieeexplore.ieee.org
Characterized by a certain focus on the heavily discussed topic of image fusion in its
beginnings, sensor data fusion has played a significant role in the remote sensing research …