000 01541 a2200445 4500
005 20250517231403.0
264 0 _c20190114
008 201901s 0 0 eng d
022 _a1553-7358
024 7 _a10.1371/journal.pcbi.1006337
_2doi
040 _aNLM
_beng
_cNLM
100 1 _aZhou, Naihui
245 0 0 _aCrowdsourcing image analysis for plant phenomics to generate ground truth data for machine learning.
_h[electronic resource]
260 _bPLoS computational biology
_c07 2018
300 _ae1006337 p.
_bdigital
500 _aPublication Type: Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
650 0 4 _aAlgorithms
650 0 4 _aCrops, Agricultural
_xphysiology
650 0 4 _aCrowdsourcing
_xmethods
650 0 4 _aData Accuracy
650 0 4 _aFood Supply
650 0 4 _aHumans
650 0 4 _aImage Processing, Computer-Assisted
_xmethods
650 0 4 _aInternet
650 0 4 _aMachine Learning
650 0 4 _aPhenotype
650 0 4 _aPilot Projects
700 1 _aSiegel, Zachary D
700 1 _aZarecor, Scott
700 1 _aLee, Nigel
700 1 _aCampbell, Darwin A
700 1 _aAndorf, Carson M
700 1 _aNettleton, Dan
700 1 _aLawrence-Dill, Carolyn J
700 1 _aGanapathysubramanian, Baskar
700 1 _aKelly, Jonathan W
700 1 _aFriedberg, Iddo
773 0 _tPLoS computational biology
_gvol. 14
_gno. 7
_gp. e1006337
856 4 0 _uhttps://doi.org/10.1371/journal.pcbi.1006337
_zAvailable from publisher's website
999 _c28682734
_d28682734