| Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of Mango M Rahman, A Robson, M Bristow Remote Sensing 10 (12), 1866, 2018 | 76 | 2018 |
| Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, Australia A Robson, MM Rahman, J Muir Remote Sensing 9 (12), 1223, 2017 | 72 | 2017 |
| Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block Level MM Rahman, A Robson Remote Sensing 12 (8), 1313, 2020 | 61 | 2020 |
| A Novel Approach for Sugarcane Yield Prediction Using Landsat Time Series Imagery: A Case Study on Bundaberg Region MM Rahman, AJ and Robson Advances in Remote Sensing 5 (2), 93 - 102, 2016 | 60 | 2016 |
| The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopy MM Rahman, DW Lamb, JN Stanley Agricultural and Forest Meteorology 202, 39 - 43, 2015 | 45 | 2015 |
| Estimation of fruit load in mango orchards: tree sampling considerations and use of machine vision and satellite imagery NT Anderson, JP Underwood, MM Rahman, A Robson, KB Walsh Precision Agriculture 20, 823-839, 2019 | 39 | 2019 |
| A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficient MS Alam, DW Lamb, MM Rahman Computers and Electronics in Agriculture 147, 12 -17, 2018 | 31 | 2018 |
| Methodology for measuring fAPAR in crops using a combination of active optical and linear irradiance sensors: a case study in Triticale (X Triticosecale Wittmack). MM Rahman, JN Stanley, DW Lamb, M Trotter Precision Agriculture, 2014 | 24 | 2014 |
| Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiency. MM Rahman, DW Lamb, JN Stanley, M Trotter Crop and Pasture Science 65 (4), 400 - 409, 2014 | 21 | 2014 |
| Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree crops A Robson, MM Rahman, J Muir, A Saint, C Simpson, C and Searle Advances in Animal Biosciences 8 (2), 498 - 504, 2017 | 20 | 2017 |
| Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane A Robson, MM Rahman, G Falzon, N Verma, K Johansen, N Robinson, ... International Sugar Journal, 2016 | 14 | 2016 |
| Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in Ghana BA Torgbor, MM Rahman, A Robson, J Brinkhoff, A Khan Horticulturae 8 (1), 11, 2021 | 11 | 2021 |
| Reducing the influence of solar illumination angle when using active optical sensor derived NDVIAOS to infer fAPAR for spring wheat (Triticum aestivum L.) MM Rahman, DW Lamb, SM Samborski Computers and Electronics in Agriculture 156, 1-9, 2019 | 10 | 2019 |
| In-situ partitioning of evaporation and transpiration components using a portable evapotranspiration dome—A case study in Tall Fescue (Festuca arundinacea) MS Alam, DW Lamb, MM Rahman Agricultural Water Management 213, 352-357, 2019 | 9 | 2019 |
| Fruit load estimation in mango orchards–a method comparison JP Underwood, MM Rahman, A Robson, KB Walsh, A Koirala, Z Wang | 8 | 2018 |
| 'Sugar from space': Using satellite imagery to predict cane yield and variability JS Muir, AJ Robson, MM Rahman INTERNATIONAL SUGAR JOURNAL 121 (1443), 204-209, 2019 | 7 | 2019 |
| The role of directional LAI in determining the fAPAR–NDVI relationship when using active optical sensors in tall fescue (Festuca arundinacea) pasture MM Rahman, DW Lamb International Journal of Remote Sensing 38 (11), 3219 - 3235, 2017 | 7 | 2017 |
| Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning Approach BA Torgbor, MM Rahman, J Brinkhoff, P Sinha, A Robson Remote Sensing 15 (12), 3075, 2023 | 6 | 2023 |
| Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcane. A Robson, MM Rahman, G Falzon, NK Verma, K Johansen, N Robinson, ... Cooperative Sugar 48 (9), 27-36, 2017 | 5 | 2017 |
| Multi-temporal remote sensing for yield prediction in sugarcane crops MM Rahman, AJ Robson 19th Symposium of Society of Precision Agriculture Australia Towoomba, QLD …, 2016 | 5 | 2016 |
D W LambUniversity of New England, AustraliaVerified email at une.edu.au
