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Fig. 8 | Plant Methods

Fig. 8

From: High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data

Fig. 8

Temporal change in biomass accumulation for soybean genotypes grown in different environments based on the results of proposed random forest (RF) model. The line in each box plot stands for median value. The error bars represent the 95% confidence interval and outliers are represented by dots. Early group grown in drought simulation – ED, late group grown in drought simulation – LD, early control – EC and late control – LC, growing degree days after emergence – GDD (°C)

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Plant Methods

ISSN: 1746-4811