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Development of a high-throughput plant disease symptom seve..:
Clohessy, James W.
;
Sanjel, Santosh
;
O'Brien, G. Kelly
...
Computers and Electronics in Agriculture. 184 (2021) - p. 106089 , 2021
Link:
https://doi.org/10.1016/j.compag.2021.106089
RT Journal T1
Development of a high-throughput plant disease symptom severity assessment tool using machine learning image analysis and integrated geolocation
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.compag.2021.106089&Exemplar=1&LAN=DE A1 Clohessy, James W. A1 Sanjel, Santosh A1 O'Brien, G. Kelly A1 Barocco, Rebecca A1 Kumar, Shivendra A1 Adkins, Scott A1 Tillman, Barry A1 Wright, David L. A1 Small, Ian M. PB Elsevier BV YR 2021 SN 0168-1699 JF Computers and Electronics in Agriculture VO 184 SP 106089 LK http://dx.doi.org/https://doi.org/10.1016/j.compag.2021.106089 DO https://doi.org/10.1016/j.compag.2021.106089 SF ELIB - SuUB Bremen
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