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) ; Brinkhoff, James (supervisor) ; Sinha, Priyakant (supervisor) ; Rahman, Muhammad (supervisor) ; 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 |
Files in This Item:
File | Description | Size | Format |
---|
Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.