Results 21 to 30 of about 45,375 (293)

Explainable machine learning to quantify the value of proximal remote sensing in latent energy flux estimation

open access: yesAgricultural Water Management
Proximal remote sensing has the potential to provide critical information on vegetation biophysical factors that can predict land-atmosphere exchange of water and energy. Latent energy (LE) flux is traditionally estimated using process-based models which
Srishti Gaur   +3 more
doaj   +3 more sources

Proximal Remote Sensing Buggies and Potential Applications for Field-Based Phenotyping

open access: yesAgronomy, 2014
The achievements made in genomic technology in recent decades are yet to be matched by fast and accurate crop phenotyping methods. Such crop phenotyping methods are required for crop improvement efforts to meet expected demand for food and fibre in the ...
David Deery   +4 more
doaj   +2 more sources

The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat. [PDF]

open access: yesSensors (Basel), 2020
The accurate and high throughput quantification of nitrogen (N) content in wheat using non-destructive methods is an important step towards identifying wheat lines with high nitrogen use efficiency and informing agronomic management practices.
Liu H, Bruning B, Garnett T, Berger B.
europepmc   +2 more sources

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy

open access: yes, 2023
This paper explores the application and advantages of remote sensing, machine learning, and mid-infrared spectroscopy (MIR) as a popular proximal sensing spectroscopy tool in the estimation of soil organic carbon (SOC).
Madgett, O   +15 more
core   +2 more sources

Development of a Target-to-Sensor Mode Multispectral Imaging Device for High-Throughput and High-Precision Touch-Based Leaf-Scale Soybean Phenotyping

open access: yesSensors, 2023
Image-based spectroscopy phenotyping is a rapidly growing field that investigates how genotype, environment and management interact using remote or proximal sensing systems to capture images of a plant under multiple wavelengths of light.
Xuan Li   +4 more
doaj   +1 more source

SOIL PROPERTIES MAPPING USING PROXIMAL AND REMOTE SENSING AS COVARIATE

open access: yesEngenharia Agrícola, 2021
Obtaining knowledge about the distribution of spatial variability of soil properties is crucial to the proper site-specific management. One way to improve the quality of soil mapping is by using auxiliary information (covariate).
Maiara Pusch   +3 more
doaj   +1 more source

TheraProx: Capacitive Proximity Sensing [PDF]

open access: yesElectronics, 2022
This paper presents the development of a novel contactless omnidirectional capacitive proximity sensor. The presented device has been designed to be energy-efficient (≈5 mW power consumption) by means of duty-cycling the power supply. A comprehensive methodological experiment has been carried out to extensively evaluate the performance within the ...
Duje Čoko   +3 more
openaire   +3 more sources

Remote and Proximal Sensing-Derived Spectral Indices and Biophysical Variables for Spatial Variation Determination in Vineyards

open access: yesAgronomy, 2021
Remote-sensing measurements are crucial for smart-farming applications, crop monitoring, and yield forecasting, especially in fields characterized by high heterogeneity.
Nicoleta Darra   +5 more
doaj   +1 more source

Proximity sensing with wavelet-generated video [PDF]

open access: yesJournal of Electronic Imaging, 1998
Abstract : In this paper we introduce wavelet video processing of proximity sensor signals. Proximity sensing is required for a wide range of military and commercial applications, including weapon fuzing, robotics, and automotive collision avoidance.
Steven Noel, Harold Szu
openaire   +1 more source

Mapping Particle Size and Soil Organic Matter in Tropical Soil Based on Hyperspectral Imaging and Non-Imaging Sensors

open access: yesRemote Sensing, 2021
We evaluated the use of airborne hyperspectral imaging and non-imaging sensors in the Vis—NIR—SWIR spectral region to assess particle size and soil organic matter in the surface layer of tropical soils (Oxisols, Ultisols, Entisols).
Marcos Rafael Nanni   +9 more
doaj   +1 more source

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