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Fig. 2 | Plant Methods

Fig. 2

From: Prediction of fruit characteristics of grafted plants of Camellia oleifera by deep neural networks

Fig. 2

Evaluation of changes in loss plot across 200 epochs of training and testing datasets with 12 fruit characteristics. yl: palmitoleic acid C16:1, y2: cis-11 eicosanoic acid C20:1, y3: unsaturated fatty acid, y4: leic acid C18:1, y5: linoleic acid C18:2, y6: linolenic acid C18:3, y7: kernel oil content, y8: fruit height, y9: fruit diameter, y10: fruit weight, yll: pericarp thickness, y12: fresh seed weight

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