A Nondestructive Method to Estimate Plant Height, Stem Diameter and Biomass of Rice under Field Conditions Using Digital Image Analysis

Authors

  • M Mano Graduate School of Horticulture, Chiba University, 648 Matsudo, Matsudo-shi, Chiba, 271-8510
  • M Igawa Graduate School of Horticulture, Chiba University, 648 Matsudo, Matsudo-shi, Chiba, 271-8510

DOI:

https://doi.org/10.3329/jesnr.v10i1.34686

Keywords:

Crop biomass, Plant phenotyping and Plant traits and yield

Abstract

Plant phenotyping intends measuring complex plant traits, and is important in agricultural research for enhancing yield improvement. Manual plant phenotyping is laborious and destructive, and hence a less-laborious and non-destructive method is required. Here, we proposed a nondestructive method to estimate continuous data of plant traits such as height, stem diameter and biomass using a low cost time-lapse camera. The camera was installed at a rice field in Japan, and captured images for four target plants every three hour. The plant height and stem diameter were determined from the images by referencing scale bars that were placed next to the target plants and above the ground surface. Both the height and the diameter were compared to directly measured ones, and the relationships between those were in good agreement. Plant volumes were estimated from the height and stem diameter assuming a shape of rice plant is cylindrical. Above ground biomass without panicles was determined by rice plants sampled from the field. The determined biomass increased in proportion to the plant volume, and its relationship used to produce continuous data of the rice biomass. The results suggest that the proposed method can be considered as a useful tool of the plant phenotyping.

J. Environ. Sci. & Natural Resources, 10(1): 1-7 2017

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Published

2017-11-28

How to Cite

Mano, M., & Igawa, M. (2017). A Nondestructive Method to Estimate Plant Height, Stem Diameter and Biomass of Rice under Field Conditions Using Digital Image Analysis. Journal of Environmental Science and Natural Resources, 10(1), 1–7. https://doi.org/10.3329/jesnr.v10i1.34686

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