Posted on 9 December 2020 in by Martijn Houben

Summary of our predictive model. Here you can see: the equation of the linear coefficients, r2; root mean square error (RMSE); total sample size, sample size .of each growing season.

Summary of the multivariate regression model created to allow automated total biomass measurement at Bioversity International. Here you can see the equation of the linear coefficients (R2), root mean square error (RMSE), total sample size and sample size of each growing season. All digital parameters (dependent variables) used in this multivariate machine learning model are listed within the linear model coefficients section.

Summary of the multivariate regression model created to allow automated total biomass measurement at Bioversity International. Here you can see the equation of the linear coefficients (R2), root mean square error (RMSE), total sample size and sample size of each growing season. All digital parameters (dependent variables) used in this multivariate machine learning model are listed within the linear model coefficients section.

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