Muhammad Moshiur Rahman - researchr alias

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Viewing Publication 1 - 7 from 7

2023

Integrating Remote Sensing and Weather Variables for Mango Yield Prediction Using a Machine Learning ApproachBenjamin Adjah Torgbor, Muhammad Moshiur Rahman, James Brinkhoff, Priyakant Sinha, Andrew James Robson. remotesensing, 15(12):3075, June 2023. [doi]

2022

Potential of Time-Series Sentinel 2 Data for Monitoring Avocado Crop PhenologyMuhammad Moshiur Rahman, Andrew James Robson, James Brinkhoff. remotesensing, 14(23):5942, December 2022. [doi]

2020

Integrating Landsat-8 and Sentinel-2 Time Series Data for Yield Prediction of Sugarcane Crops at the Block LevelMuhammad Moshiur Rahman, Andrew James Robson. remotesensing, 12(8):1313, 2020. [doi]

2019

Triticum aestivum L.)Muhammad Moshiur Rahman, David W. Lamb, S. M. Samborski. cea, 156:1-9, 2019. [doi]

2018

A refined method for rapidly determining the relationship between canopy NDVI and the pasture evapotranspiration coefficientMuhammad Shahinur Alam, David W. Lamb, Muhammad Moshiur Rahman. cea, 147:12-17, 2018. [doi]

Exploring the Potential of High Resolution WorldView-3 Imagery for Estimating Yield of MangoMuhammad Moshiur Rahman, Andrew Robson, Mila Bristow. remotesensing, 10(12):1866, 2018. [doi]

2017

Persea americana): A Case Study in Bundaberg, AustraliaAndrew Robson, Muhammad Moshiur Rahman, Jasmine Muir. remotesensing, 9(12):1223, 2017. [doi]

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