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Table 2 Soybean Welch’s t-test results

From: Image-based plant wilting estimation

Metrics

1 vs 4 dpi

1 vs 6 dpi

4 vs 6dpi

CM height mock

0.796

\(\mathbf {9.12e-3}\)

\(\mathbf {3.40e-3}\)

CM height WS

\(\mathbf {1.17e-9}\)

\(\mathbf {1.18e-16}\)

\(\mathbf {1.41e-7}\)

CM distance mock

\(\mathbf {1.8e-6}\)

\(\mathbf {4.83e-6}\)

0.797

CM distance WS

\(\mathbf {7.18e-5}\)

0.160

\(\mathbf {3.54e-3}\)

Plant area mock\(^*\)

\(\mathbf {2.0e-6}^*\)

\(\mathbf {2.72e-4}^*\)

\(\mathbf {0.0106}^*\)

Plant Area WS\(^*\)

\(\mathbf {3.72e-3}^*\)

\(\mathbf {4.90e-5}^*\)

\(\mathbf {4.30e-8}^*\)

Plant height mock

0.968

0.081

\(\mathbf {0.047}\)

Plant height WS

\(\mathbf {2.56e-4}\)

\(\mathbf {8.4e-7}\)

\(\mathbf {0.048}\)

Plant width mock

\(\mathbf {8.89e-4}\)

\(\mathbf {3.05e-7}\)

\(\mathbf {8.66e-3}\)

Plant width WS

0.190

\(\mathbf {0.024}\)

\(\mathbf {2.29e-3}\)

\(H_{90}\) Mock

\(\mathbf {2.29e-4}\)

\(\mathbf {5.18e-7}\)

\(\mathbf {0.013}\)

\(H_{90}\) WS

\(\mathbf {0.022}\)

0.895

0.065

\(V_{90}\) Mock

0.867

\(\mathbf {1.94e-3}\)

\(\mathbf {1.52e-3}\)

\(V_{90}\) WS

\(\mathbf {7.91e-7}\)

\(\mathbf {4.39e-11}\)

\(\mathbf {6.05e-4}\)

  1. The values are bolded because the results are under 5% significance level so we can reject the null hypothesis
  2. \(*\)For Plant Area\(^*\), we use Rank-Sum test since the 6dpi data failed the normality test