Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

Technologies and Data Analytics to Manage Grain Quality On-Farm: A Review

Version 1 : Received: 28 March 2023 / Approved: 28 March 2023 / Online: 28 March 2023 (09:39:53 CEST)

A peer-reviewed article of this Preprint also exists.

Walker, C.K.; Assadzadeh, S.; Wallace, A.J.; Delahunty, A.J.; Clancy, A.B.; McDonald, L.S.; Fitzgerald, G.J.; Nuttall, J.G.; Panozzo, J.F. Technologies and Data Analytics to Manage Grain Quality On-Farm—A Review. Agronomy 2023, 13, 1129. Walker, C.K.; Assadzadeh, S.; Wallace, A.J.; Delahunty, A.J.; Clancy, A.B.; McDonald, L.S.; Fitzgerald, G.J.; Nuttall, J.G.; Panozzo, J.F. Technologies and Data Analytics to Manage Grain Quality On-Farm—A Review. Agronomy 2023, 13, 1129.

Abstract

This review focuses on developments that quantify grain quality with a range of spectral sensors in an on-farm setting. If the application of sensor technologies were expanded and adopted on-farm, growers could identify the impact and manage the harvesting operation to meet a range of quality targets and provide an economic advantage to the farming enterprise.

Keywords

In-field; Spectroscopy; Image analysis; Machine Learning; Protein; Grain size.; Grain colour

Subject

Biology and Life Sciences, Agricultural Science and Agronomy

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