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Publication DateTitleAuthor(s)Date Added
18-Nov-2024Exploring the Relationship Between Very-High-Resolution Satellite Imagery Data and Fruit Count for Predicting Mango Yield at Multiple ScalesTorgbor, Benjamin Adjah ; Sinha, Priyakant ; Rahman, Muhammad Moshiur ; Robson, Andrew ; Brinkhoff, James ; Suarez, Luz Angelica 12-Nov-2024
22-Jun-2023Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning ApproachTorgbor, Benjamin Adjah; Rahman, Muhammad Moshiur ; Brinkhoff, James ; Sinha, Priyakant ; Robson, Andrew 7-Jul-2023
324-Nov-2022Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop PhenologyRahman, Muhammad Moshiur ; Robson, Andrew ; Brinkhoff, James 12-Dec-2022
42022Assessing the Potential of Sentinel-2 Derived Vegetation Indices to Retrieve Phenological Stages of Mango in GhanaTorgbor, Benjamin Adjah; Rahman, Muhammad Moshiur ; Robson, Andrew ; Brinkhoff, James ; Khan, Azeem 31-Jan-2022
521-Apr-2020Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block LevelRahman, Muhammad Moshiur ; Robson, Andrew 31-Jul-2020
6Aug-2019Estimation of fruit load in mango orchards: tree sampling considerations and use of machine vision and satellite imageryAnderson, N T; Underwood, J P; Rahman, M M ; Robson, A ; Walsh, K B2-May-2019
7Mar-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
8Jan-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
92018A 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
102018Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of MangoRahman, Muhammad ; Robson, Andrew ; Bristow, Mila19-Mar-2019
112017The 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
122017Using Worldview Satellite Imagery to Map Yield in Avocado (Persea americana): A Case Study in Bundaberg, AustraliaRobson, Andrew ; Rahman, Muhammad Moshiur ; Muir, Jasmine 12-Feb-2018
132016Trigonometric correction factors renders the fAPAR-NDVI relationship from active optical reflectance sensors insensitive to solar elevation angleRahman, Muhammad Moshiur ; Lamb, David 9-Aug-2016
142016A Novel Approach for Sugarcane Yield Prediction Using Landsat Time Series Imagery: A Case Study on Bundaberg RegionRahman, Muhammad Moshiur ; Robson, Andrew 23-Jan-2017
152015The impact of solar illumination angle when using active optical sensing of NDVI to infer fAPAR in a pasture canopyRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John 2-Jun-2015
162014Use of proximal sensors to evaluate at the sub-paddock scale a pasture growth-rate model based on light-use efficiencyRahman, Muhammad Moshiur ; Lamb, David ; Stanley, John ; Trotter, Mark 14-May-2014
172014Methodology for measuring fAPAR in crops using a combination of active optical and linear irradiance sensors: a case study in Triticale (X 'Triticosecale' Wittmack)Rahman, Muhammad Moshiur ; Stanley, John ; Lamb, David ; Trotter, Mark 22-Sep-2014
18Jul-2007Support needs for capacity building of small agricultural machinery manufacturers in BangladeshRahman, M M ; Abedin, M J; Akanda, M R A31-Oct-2023
1918-Jun-2007Solar drying of Jackfruit juice by developed hohenheim type dryerAbedin, M J; Rahman, M M 13-Sep-2023
2012-Jun-2006Effect of storage relative humidity (RH) on germination and vigour of wheat seedMiah, M A B; Rahman, M M ; Emon, M S H; Islam, M A11-Sep-2023
2112-Jun-2006Effect of storage relative humidity on germination and vigour of soybean seedMiah, M A B; Rahman, M M ; Hoque, M M; Baque, M A11-Sep-2023
2220-Jul-2005Selection of optimum cropping pattern for maximum return through computer programmingRahman, M M ; Roy, A P; Rabbani, M A; Mandal, A K13-Sep-2023
23-Developing a reference method for indirect measurement of pasture evapotranspiration at sub-meter spatial resolutionAlam, Muhammad Shahinur ; Lamb, David William ; Rahman, Muhammad Moshiur ; Randall, Marcus21-Sep-2024

Credit Name
Moshiur Rahman
Full Name
Rahman, Muhammad
Variants
Rahman, Muhammad Moshiur
Rahman, M M
Rahman, Moshiur
 
UNE Researcher ID
une-id:mrahma37
 
Position Title
Senior Research Scientist (Applied Agricultural Remote Sensing Centre)
 
 
Google Scholar profile key
77h1ZNEAAAAJ
Scopus Author ID
Web of Science profile key
1764025
Discipline
School of S&T - Physics and Electronics
 
Faculty
Faculty of Science, Agriculture, Business and Law
Surname
Rahman
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Given Name
Muhammad
 
Middle Name
Moshiur
Preferred Given Name
Moshiur
School/Department
School of Science and Technology
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