| Adoption of variable rate fertiliser application in the Australian grains industry: status, issues and prospects MJ Robertson, RS Llewellyn, R Mandel, R Lawes, RGV Bramley, L Swift, ... Precision agriculture 13, 181-199, 2012 | 270 | 2012 |
| Evaluation of weed eradication programs: the delimitation of extent FD Panetta, R Lawes Diversity and Distributions 11 (5), 435-442, 2005 | 137 | 2005 |
| Integrating the effects of climate and plant available soil water holding capacity on wheat yield RA Lawes, YM Oliver, MJ Robertson Field Crops Research 113 (3), 297-305, 2009 | 84 | 2009 |
| Crop area increases drive earlier and dry sowing in Western Australia: implications for farming systems A Fletcher, R Lawes, C Weeks Crop and Pasture Science 67 (12), 1268-1280, 2016 | 75 | 2016 |
| Towards a national, remote-sensing-based model for predicting field-scale crop yield RJ Donohue, RA Lawes, G Mata, D Gobbett, J Ouzman Field Crops Research 227, 79-90, 2018 | 71 | 2018 |
| Determinants of the proportion of break crops on Western Australian broadacre farms MJ Robertson, RA Lawes, A Bathgate, F Byrne, P White, R Sands Crop and Pasture Science 61 (3), 203-213, 2010 | 70 | 2010 |
| A longitudinal examination of business performance indicators for drought-affected farms RA Lawes, RS Kingwell Agricultural Systems 106 (1), 94-101, 2012 | 66 | 2012 |
| Needle in a haystack: Mapping rare and infrequent crops using satellite imagery and data balancing methods F Waldner, Y Chen, R Lawes, Z Hochman Remote Sensing of Environment 233, 111375, 2019 | 63 | 2019 |
| A simple method for the analysis of on‐farm strip trials RA Lawes, RGV Bramley Agronomy journal 104 (2), 371-377, 2012 | 63 | 2012 |
| Whole farm implications on the application of variable rate technology to every cropped field RA Lawes, MJ Robertson Field Crops Research 124 (2), 142-148, 2011 | 53 | 2011 |
| Seeking simultaneous improvements in farm profit and natural resource indicators: a modelling analysis M Robertson, A Bathgate, A Moore, R Lawes, J Lilley Animal Production Science 49 (10), 826-836, 2009 | 53 | 2009 |
| Evaluation of the Australian branched broomrape (Orobanche ramosa) eradication program FD Panetta, R Lawes Weed Science 55 (6), 644-651, 2007 | 48 | 2007 |
| The Land Use Sequence Optimiser (LUSO): a theoretical framework for analysing crop sequences in response to nitrogen, disease and weed populations R Lawes, M Renton Crop and Pasture Science 61 (10), 835-843, 2010 | 43 | 2010 |
| How well can APSIM simulate nitrogen uptake and nitrogen fixation of legume crops? C Chen, R Lawes, A Fletcher, Y Oliver, M Robertson, M Bell, E Wang Field Crops Research 187, 35-48, 2016 | 41 | 2016 |
| Monitoring an invasive perennial at the landscape scale with remote sensing RA Lawes, JF Wallace Ecological Management & Restoration 9 (1), 53-59, 2008 | 40 | 2008 |
| Comparison of machine learning algorithms for classification of LiDAR points for characterization of canola canopy structure L Wu, X Zhu, R Lawes, D Dunkerley, H Zhang International Journal of Remote Sensing 40 (15), 5973-5991, 2019 | 38 | 2019 |
| Optimal nitrogen rate can be predicted using average yield and estimates of soil water and leaf nitrogen with infield experimentation RA Lawes, YM Oliver, NI Huth Agronomy Journal 111 (3), 1155-1164, 2019 | 38 | 2019 |
| A bio-economic evaluation of the profitability of adopting subtropical grasses and pasture-cropping on crop–livestock farms JD Finlayson, RA Lawes, T Metcalf, MJ Robertson, D Ferris, MA Ewing Agricultural Systems 106 (1), 102-112, 2012 | 38 | 2012 |
| Applications of industry information in sugarcane production systems RA Lawes, RJ Lawn Field Crops Research 92 (2-3), 353-363, 2005 | 38 | 2005 |
| How will the next-generation of sensor-based decision systems look in the context of intelligent agriculture? A case-study AF Colaço, J Richetti, RGV Bramley, RA Lawes Field Crops Research 270, 108205, 2021 | 33 | 2021 |
