Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN models

Khalifani, SanazSanazKhalifaniDarvishzadeh, RezaRezaDarvishzadehAzad, NasrinNasrinAzadSeyed Rahmani, RazgarRazgarSeyed Rahmani2023-05-252023-02-162023-05-2520220926-6690WOS:000910922900004https://imec-publications.be/handle/20.500.12860/41112Prediction of sunflower grain yield under normal and salinity stress by RBF, MLP and, CNN modelsJournal article10.1016/j.indcrop.2022.115762WOS:000910922900004ARTIFICIAL NEURAL-NETWORKSPATH-COEFFICIENT ANALYSISHELIANTHUS-ANNUUS L.SEED YIELDGENE-EXPRESSIONWHEATCOMPONENTSDROUGHTQUALITYINPUTS