Measurement of wheat leaf area based on computer vision

doi:10.14088/j.cnki.issn0439-8114.2019.16.030

Abstract

Abstract: The computer vision technology was used to identify the lateral and overhead images of the target crop wheat, and the corresponding leaf area was calculated. The multi-variable factors were used to measure and analyze it. Finally, the real area of the leaf was compared and analyzed to establish a relationship model. The results showed that there was a regression relationship between the lateral beat, the overshoot area and the true leaf area of the wheat plants, the correlation was high, and the R² value reached 0.91. After verification, the measurement results are more accurate, indicating that this regression model is feasible.

Key words: computer vision, wheat, leaf area, number of pixels

CLC Number:

TP391
S512.1

HAO Ya-jie, ZHANG Wu-ping, SHI Wei-jie, ZHAO Ming-xia, LYU Zhi, LI Fu-zhong. Measurement of wheat leaf area based on computer vision[J]. HUBEI AGRICULTURAL SCIENCES, 2019, 58(16): 129-132.

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