Data

Integrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia - Dataset

University of New England, Australia
Robson, Andrew ; Brinkhoff, James ; Sinha, Priyakant ; Rahman, Muhammad ; Torgbor, Adjah
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25952/52x6-gr48&rft.title=Integrating Remote Sensing and Weather Variables for Yield Forecasting of Horticultural Tree Crops – A Case Study of Mango in Ghana and Australia - Dataset&rft.identifier=10.25952/52x6-gr48&rft.publisher=University of New England, Australia&rft.description=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.&rft.creator=Robson, Andrew &rft.creator=Brinkhoff, James &rft.creator=Sinha, Priyakant &rft.creator=Rahman, Muhammad &rft.creator=Torgbor, Adjah &rft.date=2023&rft_rights=Rights holder: AARSC, UNE&rft_rights=Rights holder: AARSC, UNE&rft_subject=Phenology&rft.type=dataset&rft.language=English Access the data
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Rights holder: AARSC, UNE

Rights holder: AARSC, UNE

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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.

Notes

Funding SourceAustralian Government Department of Agriculture and Water Resources Horticulture Innovations Australia Ltd. Remote Sensing Scholarship from AARSC, UNE

Issued: 2023

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