Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62791
Title: Integrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia - Dataset
Contributor(s): Robson, Andrew  (supervisor)orcid ; Brinkhoff, James  (supervisor)orcid ; Sinha, Priyakant  (supervisor)orcid ; Rahman, Muhammad  (supervisor)orcid ; Torgbor, Adjah Benjamin (creator)
Publication Date: 2023
DOI: 10.25952/52x6-gr48
Handle Link: https://hdl.handle.net/1959.11/62791
Related Research Outputs: https://hdl.handle.net/1959.11/60293
Abstract/Context: Extracted time series satellite remote sensing (RS) data in an excel table with column names describing the content of the observations in rows. It also include figures and results tables from the analysis conducted in the research. The data excludes the actual yield data obtained from mango growers in the study locations of which sharing is not permitted. The satellite RS data was used in relation with the actual yield data to develop the time series yield models.
Publication Type: Dataset
Fields of Research (FoR) 2020: 401304 Photogrammetry and remote sensing
Socio-Economic Objective (SEO) 2020: 280101 Expanding knowledge in the agricultural, food and veterinary sciences
Keywords: Phenology
HERDC Category Description: X Dataset
Project: Integrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia
Rights Holder: AARSC, UNE
Primary Contact Details: Muhammad Moshiur Rahman - mrahma37@une.edu.au
Dataset Custodian Details: Muhammad Moshiur Rahman - mrahma37@une.edu.au
Appears in Collections:Dataset
School of Science and Technology

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