David W. Lamb
Orcid: 0000-0002-2917-2231Affiliations:
- University of New England, Food Agility Cooperative Research Centre, Precision Agriculture Research Group, Armidale, NSW, Australia
According to our database1,
David W. Lamb
authored at least 28 papers
between 2012 and 2023.
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Bibliography
2023
Characterisation of Banana Plant Growth Using High-Spatiotemporal-Resolution Multispectral UAV Imagery.
Remote. Sens., February, 2023
2022
A Comparison of Analytical Approaches for the Spectral Discrimination and Characterisation of Mite Infestations on Banana Plants.
Remote. Sens., 2022
2021
Sensors, 2021
Remote. Sens., 2021
2020
Identifying Sheep Activity from Tri-Axial Acceleration Signals Using a Moving Window Classification Model.
Remote. Sens., 2020
Frost Monitoring Cyber-Physical System: A Survey on Prediction and Active Protection Methods.
IEEE Internet Things J., 2020
Discrimination of species composition types of a grazed pasture landscape using Sentinel-1 and Sentinel-2 data.
Int. J. Appl. Earth Obs. Geoinformation, 2020
2019
A Non-Reference Temperature Histogram Method for Determining T<sub>c</sub> from Ground-Based Thermal Imagery of Orchard Tree Canopies.
Remote. Sens., 2019
Assessment of Canopy Porosity in Avocado Trees as a Surrogate for Restricted Transpiration Emanating from Phytophthora Root Rot.
Remote. Sens., 2019
A Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture Biomass in a Grazed Pasture Landscape.
Remote. Sens., 2019
Discriminating between C3, C4, and Mixed C3/C4 Pasture Grasses of a Grazed Landscape Using Multi-Temporal Sentinel-1a Data.
Remote. Sens., 2019
Reducing the influence of solar illumination angle when using active optical sensor derived NDVI<sub>AOS</sub> to infer fAPAR for spring wheat (<i>Triticum aestivum</i> L.).
Comput. Electron. Agric., 2019
2018
Quantifying the Severity of Phytophthora Root Rot Disease in Avocado Trees Using Image Analysis.
Remote. Sens., 2018
Real-time object detection in agricultural/remote environments using the multiple-expert colour feature extreme learning machine (MEC-ELM).
Comput. Ind., 2018
Comput. Electron. Agric., 2018
A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient.
Comput. Electron. Agric., 2018
2017
Fast object detection in pastoral landscapes using a Colour Feature Extreme Learning Machine.
Comput. Electron. Agric., 2017
2016
Comparison of Canopy Volume Measurements of Scattered Eucalypt Farm Trees Derived from High Spatial Resolution Imagery and LiDAR.
Remote. Sens., 2016
A Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture Biomass in Tall Fescue (<i>Festuca arundinacea</i> var. Fletcher).
Remote. Sens., 2016
Trigonometric correction factors renders the fAPAR-NDVI relationship from active optical reflectance sensors insensitive to solar elevation angle.
Comput. Electron. Agric., 2016
2014
Effect of Aluminum Neutron Probe Access Tubes on the Apparent Electrical Conductivity Recorded by an Electromagnetic Soil Survey Sensor.
IEEE Geosci. Remote. Sens. Lett., 2014
Proceedings of the IEEE Sensors Applications Symposium, 2014
2013
Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013
Tree cover extraction from 50 cm worldview2 imagery: A comparison of image processing techniques.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013
2012
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012
The Dynamic Aerial Survey Algorithm Architecture and Its Potential Use in Airborne Fertilizer Applications.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2012