Professor David Lamb
McClymont Distinguished Professor - School of Science and Technology; Precision Agriculture Research Group
Phone: +61 2 6773 3565
McClymont Distinguished Professor (Research) of the University of New England
Science Director, CRC for Spatial Information
Leader, Precision Agriculture Research Group (UNE PARG)
David is a physicist whose research interests include applied optics and precision agriculture. His applied optics work covers the development and application of optical sensors, including optical fibre sensors for environmental, chemical, physical and biophysical sensing. Precision agriculture is concerned with measuring and managing within-field spatial variability in biophysical attributes in agricultural fields to optimise production. He has been working in the area of precision agriculture since the early nineties- initially building and testing a number of airborne imaging systems for agricultural applications and now extends his work to cover proximal (nearby) optical and electromagnetic sensors (for example active optical plant canopy sensors and electromagnetic induction soil sensors). David leads the University of New England's SMART Farm project and the Precision Agriculture Research Group (UNE-PARG). PARG is a group engaged in development, application and evaluation of new agricultural technologies wherein he has led more than 40 multi-disciplinary, multi-organisation research projects. David recently completed a national review of telecommunications challenges and opportunities for Australian agriculture. He is a Science Director in the CRC for Spatial Information and a member of the National Positioning Infrastructure Advisory Board. David currently serves as Australian representative for the International Society for Precision Agriculture.
BSc (Hons), PhD (NE)
- Remote sensing
- Precision Agriculture
Fifteen Selected publications
Alam, M. S., Lamb, D.W. and Rahman, M. M (2018) “A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient”. Computers and Electronics in Agriculture. 147: 12-17.
Barwick, J., Lamb, D.W., Dobos, R., Schneider, D., Welch, M. and Trotter, M. (2018) “Predicting lameness in sheep activity using tri-axial acceleration signals”. Animals. 8 (1): 12.
Lamb, D.W. (2017) “Telecommunications and Australian agriculture: Will top down meet bottom up?” Australian Farm Policy Journal. FPJ1403E 14 (3): 31-47.
Sadgrove, E., Miron, D., Falzon, G. and Lamb, D.W. (2017) “Fast object detection in pastoral landscapes using a Colour Feature Extreme Learning Machine.” Computers and Electronics in Agriculture. 139:204-212.
Rahman, M.M. and Lamb, D.W. (2017) “The role of directional LAI in determining the fAPAR-NDVI relationship when using active optical sensors in tall fescue (Festuca arundinacea) pasture”. International Journal of Remote Sensing. 38 (11): 3219-3235.
Lamb, D.W., Schneider, D.A. and Stanley, J.N. (2014) Combination active optical and passive thermal infrared sensor for low-level airborne crop sensing. Precision Agriculture. 15:523-531.
Falzon, G., Trotter, M.G., Schneider, D. and Lamb, D.W. (2013), Correlating movement patterns of merino sheep to faecal egg counts using global positioning system tracking collars and functional data analysis Small Ruminant Research, 111: 171– 174.
Lamb, D.W., Schneider D.A., Trotter, M.G., Schaefer, M.T. and Yule I.J. (2011),Extended-altitude, aerial mapping of crop NDVI using an active optical sensor: A case study using a RaptorTM sensor over Wheat Computers and Electronics in Agriculture, 77: 69-73.
Lamb, D.W., Trotter, M.G. and Schneider D.A. (2009), Ultra low-level airborne (ULLA) sensing of crop canopy reflectance: A case study using a CropCircleTM sensor Computers and Electronics in Agriculture, 69: 86-91.
Lamb, D.W. (2009) Electrically-heated cables protect vines from frost damage at early flowering. Australian Journal of Grape and Wine Research. 15: 79-84.
Lamb D. W. and Hooper A. (2006) A novel laser-optical fiber Bragg grating anemometer for measuring gas flows: Application to measuring the electric wind Applied Optics Letters, 31 1035-1037.
Lamb D.W., Mitchell A. and Hyde G. (2005), Vineyard trellising comprising steel posts distorts data from EM soil surveys Australian Journal of Grape and Wine Research, 11: 24-32.
Lamb, D.W., Bunganaen, Y., Louis, J., Woolsey, G.A., Oliver, R. and White, G. (2004) FEFA- an optical fibre technique for measuring water colour in turbid samples. Freshwater & Marine Research. 55: 533-543.
Lamb D.W., Weedon M.M. and Bramley R.G.V. (2004), Using remote sensing to predict grape phenolics and colour at harvest in a Cabernet Sauvignon vineyard: timing observations against vine phenology and optimising image resolution, Australian Journal of Grape and Wine Research, 10: 46-54.
Lamb D.W., Steyn-Ross M., Schaare P., Hanna M., Silvester W. and Steyn-Ross A. (2002) Estimating leaf nitrogen concentration in ryegrass (Lolium spp.) pasture using the chlorophyll red-edge: Theoretical modelling and experimental observations International Journal of Remote Sensing, 23 (18): 3619-3648.