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Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
(Elsevier, 2023)
With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. ...
Artificial neural network and random forest regression models for modelling fatty acid and tocopherol content in oil of winter rapeseed
(Elsevier, 2023)
With the aid of models used in artificial intelligence, a wide range of data can be processed quickly with high accuracy. The quality of rapeseed oil from 40 genotypes cultivated during four consecutive years was analysed. ...
Oil yield prediction for sunflower hybrid selection using different machine learning algorithms
(Nature Portfolio, 2023)
Due to the increased demand for sunfower production, its breeding assignment is the ntensifcation
of the development of highly productive oil seed hybrids to satisfy the edible oil industry. Sunfower
Oil Yield Prediction ...