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Publication DateTitleAuthor(s)Date Added
122-Aug-2023Remote Sensing Applications for Banana CropsAeberli, Aaron Joseph; Robson, Andrew ; Phinn, Stuart; Lamb, David William ; Johansen, Kasper3-Oct-2023
210-Nov-2022Remote Sensing applications for Banana Crops - DatasetAeberli, Aaron; Robson, Andrew ; Lamb, David ; Johansen, Kasper; Phinn, Stuart3-Oct-2023
39-Jun-2022A Change Management Approach to Unlocking the Value of Digital Agriculture for Family Farming BusinessesLeonard, Emma Catherine; Gregory, Susanne ; Wells, Reuben; Lamb, David ; Cowley, Frances 31-Aug-2022
45-Apr-2022RF Loss Through Eucalyptus Vegetation with Varying Water Content – Modelling and ExperimentPeden, Sonam ; Lamb, David ; Bradbury, Ronald ; Hedley, Mark16-Nov-2023
52022Airborne LiDAR and high resolution multispectral data integration in Eucalyptus tree species mapping in an Australian farmscapeVerma, Niva Kiran ; Lamb, David W ; Sinha, Priyakant 2-Oct-2020
62022A Comparison of Analytical Approaches for the Spectral Discrimination and Characterisation of Mite Infestations on Banana PlantsAeberli, Aaron; Robson, Andrew ; Phinn, Stuart; Lamb, David W ; Johansen, Kasper9-Apr-2024
710-Dec-2021A Tactical Approach to Unlocking the Value of Digital Agriculture for Family Farming BusinessesLeonard, Emma; Gregory, Susanne ; Lamb, David ; Cowley, Frances ; Wells, Reuben1-Sep-2022
8Dec-2021A two-point iteration method to predict canopy water content from RF lossPeden, Sonam ; Bradbury, Ronald C ; Lamb, David ; Hedley, Mark23-Feb-2022
9Nov-2021The Segmented Colour Feature Extreme Learning Machine: Applications in Agricultural RoboticsSadgrove, Edmund J ; Falzon, Greg ; Miron, David ; Lamb, David W 16-Nov-2021
1030-Aug-2021Prediction of Water Content of Eucalyptus Leaves Using 2.4 GHz Radio WavePeden, Sonam ; Bradbury, Ronald C ; Lamb, David William ; Hedley, Mark28-Feb-2022
1130-Jun-2021RF Loss Model for Tree Canopies with Varying Water ContentPeden, Sonam ; Bradbury, Ronald C ; Lamb, David William ; Hedley, Mark28-Feb-2022
1231-Mar-2021A Model for RF Loss through Vegetation with Varying Water ContentPeden, Sonam ; Bradbury, Ronald C ; Lamb, David William ; Hedley, Mark28-Feb-2022
1320-Jan-2021A Canopy Transpiration Model Based on Scaling Up Stomatal Conductance and Radiation Interception as Affected by Leaf Area IndexAlam, Muhammad Shahinur; Lamb, David William ; Warwick, Nigel W M 29-Apr-2021
142021Detection of Banana Plants Using Multi-Temporal Multispectral UAV ImageryAeberli, Aaron; Johansen, Kasper; Robson, Andrew ; Lamb, David W ; Phinn, Stuart17-Nov-2021
152021Investigating the potential of Sentinel-1 to detect varying spatial heterogeneity in pasture cover in grasslandsCrabbe, Richard A ; Lamb, David W ; Edwards, Clare28-Mar-2024
16Jul-2020Frost Monitoring Cyber-Physical System: A Survey on Prediction and Active Protection MethodsZhou, Ian; Lipman, Justin; Abolhasan, Mehran; Shariati, Negin; Lamb, David W 30-Nov-2020
176-May-2020Evaluating Remote Sensing Techniques for Assessing Phytophthora Root Rote Induced Canopy Decline Symptoms in Avocado OrchardsSalgadoe, Surantha ; Lamb, David ; Robson, Andrew 5-Jan-2024
186-May-2020Monitoring Pasture Species, Biomass and Canopy Heterogeneity Using Sentinel-1 Synthetic Aperture Radar DataCrabbe, Richard Azu; Lamb, David William ; Trotter, Mark Graeme 10-Jan-2024
1915-Feb-2020Identifying Sheep Activity from Tri-Axial Acceleration Signals Using a Moving Window Classification ModelBarwick, Jamie ; Lamb, David William ; Dobos, Robin ; Welch, Mitchell ; Schneider, Derek ; Trotter, Mark 30-Oct-2020
207-Feb-2020Extracting Pasture Evapotranspiration Parameters from Proximal Sensing and Mathematical ModellingAlam, Muhammad Shahinur ; Lamb, David ; Mccarthy, Cheryl; Rahman, Muhammad ; Warwick, Nigel William 10-Jan-2024
21Feb-2020Discrimination of species composition types of a grazed pasture landscape using Sentinel-1 and Sentinel-2 dataCrabbe, Richard A; Lamb, David ; Edwards, Clare 18-Nov-2020
228-Jan-2020Extracting pasture evapotranspiration parameters from proximal sensing and mathematical modelling - DatasetAlam, Muhammad Shahinur ; Lamb, David ; McIntyre, Cheryl ; Rahman, Muhammad ; Warwick, Nigel William 10-Jan-2024
232-Dec-2019Assessment of Canopy Porosity in Avocado Trees as a Surrogate for Restricted Transpiration Emanating from Phytophthora Root RotSalgadoe, Arachchige Surantha Ashan ; Robson, Andrew James ; Lamb, David William ; Dann, Elizabeth Kathryn1-Oct-2020
242-Oct-2019Embedded Machine-Learning For Variable-Rate Fertiliser Systems: A Model-Driven Approach To Precision AgricultureStover, Joshua Marc ; Falzon, Gregory ; Lamb, David 11-Mar-2020
2510-Apr-2019A Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture Biomass in a Grazed Pasture LandscapeCrabbe, Richard Azu; Lamb, David William ; Edwards, Clare; Andersson, Karl ; Schneider, Derek 31-Mar-2020
2625-Mar-2019A Non-Reference Temperature Histogram Method for Determining Tc from Ground-Based Thermal Imagery of Orchard Tree CanopiesSalgadoe, Arachchige Surantha Ashan ; Robson, Andrew James ; Lamb, David William ; Schneider, Derek 20-Jun-2019
27Mar-2019In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome-A case study in Tall Fescue (Festuca arundinacea)Alam, Muhammad Shahinur; Rahman, Muhammad Moshiur ; Lamb, David W 22-Apr-2019
2827-Jan-2019Discriminating between C3, C4, and Mixed C3/C4 Pasture Grasses of a Grazed Landscape Using Multi-Temporal Sentinel-1a DataCrabbe, Richard Azu; Lamb, David William ; Edwards, Clare 5-Nov-2020
29Jan-2019Reducing the influence of solar illumination angle when using active optical sensor derived NDVIAOS to infer fAPAR for spring wheat (Triticum aestivum L.)Rahman, Muhammad M ; Lamb, David W ; Samborski, S M19-Mar-2019
3027-Oct-2018The MEC-ELM and its Application in Robotic Vision for Pastoral LandscapesSadgrove, Edmund J ; Falzon, Gregory ; Miron, David J ; Lamb, David 23-Jan-2024
311-Jun-2018SensorNets - SMART Farms Soil Moisture NetworkGaire, Raj; Schneider, Derek ; Lamb, David ; Moore, Darren1-Jun-2018
322018Rapid measurement of pasture evapotranspiration components using proximal sensorsAlam, Muhammad Shahinur; Lamb, David W ; Rahman, Muhammad Moshiur 1-Apr-2019
332018An assessment of the potential of remote sensing based irrigation scheduling for sugarcane in AustraliaSinha, Priyakant ; Lamb, David W ; Robson, Andrew 28-Jul-2023
342018Predicting Lameness in Sheep Activity Using Tri-Axial Acceleration SignalsBarwick, Jamie ; Lamb, David ; Dobos, Robin C ; Schneider, Derek ; Welch, Mitchell ; Trotter, Mark17-Apr-2018
352018Real-time object detection in agricultural/remote environments using the multiple-expert colour feature extreme learning machine (MEC-ELM)Sadgrove, Edmund ; Falzon, Gregory ; Miron, David ; Lamb, David 10-May-2018
362018Categorising sheep activity using a tri-axial accelerometerBarwick, Jamie ; Lamb, David ; Dobos, Robin ; Welch, Mitchell ; Trotter, Mark 3-May-2018
372018A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficientAlam, Muhammad Shahinur; Lamb, David ; Rahman, Moshiur M 23-Apr-2018
382018Quantifying the severity of phytophthora root rot disease in avocado trees using image analysisSalgadoe, Arachchige Surantha Ashan; Robson, Andrew ; Lamb, David ; Dann, Elizabeth; Searle, Christopher10-May-2018
392018Connecting Australian farmers: Gateways, Gatekeepers and a Forgotten SolutionLamb, David 6-Jun-2018
4016-Oct-2017Hardware and embedded algorithms for real time variable rate fertiliser applicationsStover, Joshua ; Falzon, Greg ; Jensen, Troy; Schroeder, Bernard; Lamb, David W 4-Jun-2019
412017Determining pasture evapotranspiration using active optical sensor derived normalized difference vegetation indexAlam, Muhammad S; Lamb, David ; Rahman, Muhammad Moshiur ; Bradbury, Ronald ; McCarthy, Cheryl29-Jun-2018
422017Fast object detection in pastoral landscapes using a Colour Feature Extreme Learning MachineSadgrove, Edmund ; Falzon, Gregory ; Miron, David J ; Lamb, David 14-Jun-2017
432017The role of directional LAI in determining the fAPAR-NDVI relationship when using active optical sensors in tall fescue ('Festuca arundinacea') pastureRahman, Muhammad Moshiur ; Lamb, David 13-Jul-2017
442017Monitoring the kinetics of heterogeneous crystal growth using an Intrinsic Exposed Core Optical Fiber SensorBoerkamp, Martijn; Lamb, David ; Lye, Peter 9-Mar-2017
452017On-animal motion sensing using accelerometers as a tool for monitoring sheep behaviour and health statusBarwick, Jamie ; Lamb, David ; Trotter, Mark ; Dobos, Robin C21-Feb-2018
462017Telecommunications and Australian Agriculture: Will Top-Down Meet Bottom-Up?Lamb, David 27-Mar-2018
472017A Review of On-Farm Telecommunications Challenges and Opportunities in Supporting a Digital Agriculture Future for AustraliaLamb, David 28-Mar-2018
482017Accelerating precision agriculture to decision agriculture: Enabling digital agriculture in AustraliaLeonard, Emma; Rainbow, Rohan; Laurie, A; Lamb, David ; Llewellyn, R; Perrett, Ed; Sanderson, Jay; Skinner, Andrew; Stollery, T; Wiseman, Leanne; Wood, G ; Zhang, Airong; Trindal, Jane; Baker, I; Barry, Simon; Darragh, L; Darnell, Ross; George, A; Heath, Richard; Jakku, Emma29-Mar-2018
492017Estimating pasture biomass with active optical sensorsAndersson, Karl ; Trotter, M; Robson, Andrew ; Schneider, Derek ; Frizell, Lucy ; Saint, Ashley ; Lamb, David ; Blore, C30-May-2018
502016Risk mapping of redheaded cockchafer ('Adoryphorus couloni') (Burmeister) infestations using a combination of novel k-means clustering and on-the-go plant and soil sensing technologiesCosby, Amy ; Falzon, Gregory ; Trotter, M ; Stanley, John ; Powell, Kevin ; Lamb, David 15-Apr-2017

Credit Name
David Lamb
Full Name
Lamb, David
Variants
Lamb, David W
Lamb, David William
 
UNE Researcher ID
une-id:dlamb
 
Position Title
Adjunct Professor
 
 
Google Scholar profile key
Q45BNZAAAAAJ
Scopus Author ID
Web of Science profile key
15835365
Discipline
School of Science and Technology
 
Faculty
Faculty of Science, Ag, Business and Law
Surname
Lamb
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Given Name
David
 
Preferred Given Name
David
School/Department
School of Science and Technology
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