Hyperspectral imaging and machine learning as a non-invasive screening tool to determine crop maturity, nutritional status and stress

Research output: Contribution to conference › Abstract

Original language	English
Publication status	Published - 2003
Event	DEFRA Arable Crop Physiology and Technology Workshop - Cranfield University, United Kingdom of Great Britain and Northern Ireland Duration: 14 Oct 2003 → 15 Oct 2003

Conference	DEFRA Arable Crop Physiology and Technology Workshop
Country/Territory	United Kingdom of Great Britain and Northern Ireland
Period	14 Oct 2003 → 15 Oct 2003

Permanent link

@conference{b7cf00349e1641c9ba63104ea5603510,

title = "Hyperspectral imaging and machine learning as a non-invasive screening tool to determine crop maturity, nutritional status and stress",

author = "Helen Ougham and Alan Gay and Iain Donnison and Howard Thomas and Caron Evans and J. Rowlands",

year = "2003",

language = "English",

note = "DEFRA Arable Crop Physiology and Technology Workshop ; Conference date: 14-10-2003 Through 15-10-2003",

}

TY - CONF

T1 - Hyperspectral imaging and machine learning as a non-invasive screening tool to determine crop maturity, nutritional status and stress

AU - Ougham, Helen

AU - Gay, Alan

AU - Donnison, Iain

AU - Thomas, Howard

AU - Evans, Caron

AU - Rowlands, J.

PY - 2003

Y1 - 2003

UR - http://hdl.handle.net/2160/44766

M3 - Abstract

T2 - DEFRA Arable Crop Physiology and Technology Workshop

Y2 - 14 October 2003 through 15 October 2003

ER -