Publication | Closed Access
Artificial neural networks and multiple linear regression as potential methods for modeling seed yield of safflower (Carthamus tinctorius L.)
112
Citations
51
References
2018
Year
Precision AgricultureEngineeringArtificial Neural NetworksBotanyMultiple Linear RegressionSustainable AgricultureAgricultural EconomicsPlant ProductionCrop Growth ModelingCrop EstablishmentBiostatisticsSeed YieldYield PredictionPublic Health
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