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. 2021 Feb 1;11:2721. doi: 10.1038/s41598-021-81652-3

Table 7.

Yield models’ output (quintals per hectare) related to real plant number without missing plants (Yield RVN) using NDVI filtered (NDVI_f), canopy thickness (Thick), NDVI filtered and canopy thickness (NDVI_f Thick) compared to yield ground estimation and yield harvested. The best resulting models are bold typed.

Year Vineyard NDVI_f Thick NDVI_f Thick Yield ground estimation Yield harvested
Linear Trees Linear Exp GPR Linear SVM

Yield

RVN

(best models without cross validation)

2017 Caggio 37.3 35.8 46.5 42.9 35.7 48.5 49.1 44.3
2018 Caggio 136.8 132.1 115.5 116.8 129.1 114.3 73.6 71.1
2019 Caggio 126.2 116.4 118.0 114.0 124.5 106.6 78.5 110.8
2019 Solatio 100.0 112.7 65.4 64.7 85.5 70.8 70.0 53.6
2019 Belvedere 145.2 161.8 83.3 82.2 117.6 97.2 69.3 73.7
RF boosted RF boosted RF boosted

Yield

RVN

(best model with fivefold cross calibration)

2017 Caggio 34.1 40.1 36 49.1 44.3
2018 Caggio 134 116 128.2 73.6 71.1
2019 Caggio 118.6 115 118.2 78.5 110.8
2019 Solatio 109.3 64.8 90.5 70.0 53.6
2019 Belvedere 157.5 81.3 126.1 69.3 73.7