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Moshiur Rahman

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Author:  Robson, A

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Publication DateTitleAuthor(s)Date Added
12-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
224-Nov-2022Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop PhenologyRahman, Muhammad Moshiur ; Robson, Andrew ; Brinkhoff, James 12-Dec-2022
329-Jun-2022Assessing the potential of Sentinel-1 in retrieving mango phenology and investigating its relation to weather in Southern GhanaTorgbor, Benjamin Adjah; Rahman, Muhammad Moshiur ; Robson, Andrew ; Brinkhoff, James 27-Jul-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
67-Apr-2020Exploring the Potential of High Resolution Satellite Imagery for Yield Prediction of Avocado and Mango CropsRahman, Moshiur ; Robson, Andrew ; Salgadoe, Surantha ; Walsh, Kerry; Bristow, Mila6-Jul-2021
7Aug-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
82018Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of MangoRahman, Muhammad ; Robson, Andrew ; Bristow, Mila19-Mar-2019
92018'Sugar from Space': Using Satellite Imagery to Predict Cane Yield and VariabilityMuir, Jasmine ; Robson, Andrew ; Rahman, M M 21-Jul-2019
102018Fruit load estimation in mango orchards - a method comparisonUnderwood, J P; Rahman, M M ; Robson, A ; Walsh, K B; Koirala, A; Wang, Z6-Jul-2021
112017Using 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
122017Multi-temporal landsat algorithms for the yield prediction of sugarcane crops in AustraliaRahman, Muhammad Moshiur ; Muir, Jasmine ; Robson, Andrew 30-May-2018
132016Evaluating satellite remote sensing as a method for measuring yield variability in Avocado and Macadamia tree cropsRobson, Andrew ; Rahman, Muhammad Moshiur ; Muir, Jasmine ; Saint, Ashley ; Simpson, Chad; Searle, Chris27-Feb-2017
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
152016Multi-temporal remote sensing for yield prediction in sugarcane cropsRahman, Muhammad Moshiur ; Robson, Andrew 6-Feb-2017
162016Evaluating remote sensing technologies for improved yield forecasting and for the measurement of foliar nitrogen concentration in sugarcaneRobson, Andrew ; Rahman, Muhammad Moshiur ; Falzon, Gregory ; Verma, Niva ; Johansen, Kasper; Robinson, Nicole; Lakshmanan, Prakash; Salter, Barry; Skocaj, Danielle4-Jan-2018

Profile

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)
 
Email
 
ORCID
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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