| A genetic algorithm-based feature selection OH Babatunde, L Armstrong, J Leng, D Diepeveen IJECCE, 2014 | 237 | 2014 |
| Rice crop yield prediction in India using support vector machines N Gandhi, LJ Armstrong, O Petkar, AK Tripathy 2016 13th International Joint Conference on Computer Science and Software …, 2016 | 189 | 2016 |
| Rice crop yield prediction using artificial neural networks N Gandhi, O Petkar, LJ Armstrong 2016 IEEE Technological Innovations in ICT for Agriculture and Rural …, 2016 | 130 | 2016 |
| A survey of image processing techniques for agriculture L Saxena, L Armstrong Australian Society of Information and Communication Technologies in Agriculture, 2014 | 101 | 2014 |
| A review of the application of data mining techniques for decision making in agriculture N Gandhi, LJ Armstrong 2016 2nd International Conference on Contemporary Computing and Informatics …, 2016 | 62 | 2016 |
| Decision support system data for farmer decision making P Taechatanasat, L Armstrong Australian Society of Information and Communication Technologies in Agriculture, 2014 | 59 | 2014 |
| Zernike moments and genetic algorithm: Tutorial and application OH Babatunde, L Armstrong, J Leng, D Diepeveen SCIENCEDOMAIN International, 2014 | 59 | 2014 |
| PredictingRice crop yield using Bayesian networks N Gandhi, LJ Armstrong, O Petkar 2016 international conference on advances in computing, communications and …, 2016 | 56 | 2016 |
| A survey of computer-based vision systems for automatic identification of plant species. O Babatunde, L Armstrong, D Diepeveen, J Leng | 48 | 2015 |
| Rice crop yield forecasting of tropical wet and dry climatic zone of India using data mining techniques N Gandhi, LJ Armstrong 2016 IEEE international conference on advances in computer applications …, 2016 | 44 | 2016 |
| Somaclonal variation in rice–Submergence tolerance and other agronomic characters SW Adkins, T Shiraishi, JA McComb, S Ratanopol, T Kupkanchanakul, ... Physiologia Plantarum 80 (4), 647-654, 1990 | 41 | 1990 |
| A wrapper-based feature selection for analysis of large data sets J Leng, C Valli, L Armstrong IEEE, 2010 | 38 | 2010 |
| Crop management WK Anderson, FC Hoyle, L Armstrong, BJ Shackley The wheat book: Principles and practice, 131-164, 2000 | 38 | 2000 |
| Applying data mining techniques to predict yield of rice in humid subtropical climatic zone of India N Gandhi, L Armstrong 2016 3rd International Conference on Computing for Sustainable Global …, 2016 | 37 | 2016 |
| Factors influencing the use of information and communication technology (ICT) tools by the rural famers in Ratnagiri District of Maharashtra, India. L Armstrong, N Gandhi Allied Publishers Private Ltd, 2012 | 37 | 2012 |
| Use of Information and Communication Technology (ICT) tools by rural farmers in Ratnagiri District of Maharastra, India LJ Armstrong, N Gandhi, K Lanjekar 2012 International Conference on Communication Systems and Network …, 2012 | 36 | 2012 |
| A combination of meteorological and satellite-based drought indices in a better drought assessment and forecasting in Northeast Thailand W Thavorntam, N Tantemsapya, L Armstrong Natural Hazards 77, 1453-1474, 2015 | 35 | 2015 |
| Proposed decision support system (DSS) for Indian rice crop yield prediction N Gandhi, LJ Armstrong, O Petkar 2016 IEEE Technological Innovations in ICT for Agriculture and Rural …, 2016 | 32 | 2016 |
| The application of data mining techniques to characterize agricultural soil profiles L Armstrong, D Diepeveen, R Maddern 6th Australasian data mining conference (AusDM 2007), 2007 | 31 | 2007 |
| Effective ICTs in agricultural value chains to improve food security: An international perspective LJ Armstrong, DA Diepeveen, N Gandhi 2011 World Congress on Information and Communication Technologies, 1217-1222, 2011 | 23 | 2011 |
Dr Dean DiepeveenSenior Research Scientist, Department of Primary Industries and Regional Development (DPIRD)Verified email at dpird.wa.gov.au
