Work

An approach to forecast grain crop yield using multi-layered, multi-farm data sets and machine learning

Year: 2019

Type: article

Source: Precision Agriculture

DOI: 10.1007/s11119-018-09628-4

Authors: Patrick Filippi, Edward J. Jones, Niranjan S. Wimalathunge, Pallegedara D. S. N. Somarathna, Liana E. Pozza, Sabastine U. Ugbaje, Thomas G. Jephcott, Stacey E. Paterson, Brett M. Whelan, Thomas F. A. Bishop

Institution: The University of Sydney

Language: English

Topic: Smart Agriculture and AI

Subfield: Plant Science

Field: Agricultural and Biological Sciences

Domain: Life Sciences

SDG: Zero hunger

Open Access status: closed

Funder: Commonwealth Scientific and Industrial Research Organisation

OpenAlex ID: W2910729503

FWCI: 16.26

Cites: 26

Cited by: 322

Related to: 10