Advancement of remote sensing for soil measurements and applications: A comprehensive review
Remote sensing (RS) techniques offer advantages over other methods for measuring soil
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
properties, including large-scale coverage, a non-destructive nature, temporal monitoring …
Surveying You Only Look Once (YOLO) Multispectral Object Detection Advancements, Applications And Challenges
Multispectral imaging and deep learning have emerged as powerful tools supporting diverse
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …
use cases from autonomous vehicles to agriculture, infrastructure monitoring and …
Liquified Petroleum Gas-Fuelled Vehicle CO2 Emission Modelling Based on Portable Emission Measurement System, On-Board Diagnostics Data, and Gradient …
M Mądziel - Energies, 2023 - mdpi.com
One method to reduce CO2 emissions from vehicle exhaust is the use of liquified petroleum
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …
gas (LPG) fuel. The global use of this fuel is high in European countries such as Poland …
Non− invasive assessment, classification, and prediction of biophysical parameters using reflectance hyperspectroscopy
Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …
An Overview of the Special Issue on “Precision Agriculture Using Hyperspectral Images”
In precision agriculture systems, remote sensing has played an essential role in crop and
environment monitoring, and hyperspectral imaging is a particularly effective tool in this …
environment monitoring, and hyperspectral imaging is a particularly effective tool in this …
The technological emergence of automl: A survey of performant software and applications in the context of industry
With most technical fields, there exists a delay between fundamental academic research and
practical industrial uptake. Whilst some sciences have robust and well-established …
practical industrial uptake. Whilst some sciences have robust and well-established …
[HTML][HTML] Testing the suitability of automated machine learning, hyperspectral imaging and CIELAB color space for proximal in situ fertilization level classification
Automated machine learning (AutoML) is considered the next advancement in artificial
intelligence due to its commitment to delivering high-performance end-to-end machine …
intelligence due to its commitment to delivering high-performance end-to-end machine …
[HTML][HTML] Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning
Amidst climate change, determining optimal rice harvest timing is increasingly complex.
Traditional and common methods, based on farmers' experience, impact rice's purchase …
Traditional and common methods, based on farmers' experience, impact rice's purchase …
Advancements in variable rate spraying for precise spray requirements in precision agriculture using Unmanned aerial spraying Systems: A review
Pesticides suppress pest populations and maintain agricultural yield; however, their overuse
causes ecological damage. To mitigate the ecological damage caused by the overuse of …
causes ecological damage. To mitigate the ecological damage caused by the overuse of …
AutoML for estimating grass height from ETM+/OLI data from field measurements at a nature reserve
Remote sensing (RS) is now a standard tool used for grassland monitoring thanks to the
availability of data at an unprecedented spatial and temporal resolution. The approaches to …
availability of data at an unprecedented spatial and temporal resolution. The approaches to …