›› 2017, Vol. 29 ›› Issue (11): 1920-1929.DOI: 10.3969/j.issn.1004-1524.2017.11.20

• Biosysytems Engineering • Previous Articles     Next Articles

Rapid and non-destructive estimation method for aboveground biomass of Tamarix ramosissima based on Android platform

WANG Yangyang1, SUN Wei1, *, LI Gan2, KANG Zhenghua2, MIAO Jian3   

  1. 1. College of Computer and Information Engineering,Xinjiang Agricultural University, Urumqi 830052, China;
    2. Collage of Agronomy, Xinjiang Agricultural University, Urumqi 830052, China;
    3. College of Mechanical Engineering and Traffic,Xinjiang Agricultural University, Urumqi 830052, China
  • Received:2017-04-24 Online:2017-11-20 Published:2017-12-05

Abstract: Estimation of desert shrub biomass is an important index to study the structure and function of desert ecosystem. In order to realize the real-time, nondestructive and rapid estimation of aboveground biomass of desert shrubs, by using the technology of mechanical design and manufacture, a field measuring device for the aboveground biomass of desert shrubs was developed. With the integrated application of digital image processing algorithm based on the Android platform, the non-destructive and rapid estimation software for the aboveground biomass of desert shrubs was developed. The southern fringe of Gurbantunggut Desert in Xinjiang in 150 strains of Tamarix ramosissima as the experimental object, the biomass was effective nondestructive method for fast estimating verification on desert shrubs. The results showed that the optimal biomass model was B=15.215+369.44S-42.03S2+1.668S3, which was based on the area of vertical view of Tamarix ramosissima. The coefficient of determination was the maximum value. Compared with the actual measurement results, the average absolute error of the system was 79.12 g, the average system error was 1.73%, the mean absolute percentage error was about 18.59%, and the correlation coefficient between the estimated value and the measured value was about 0.939 1. It can effectively measure the biomass, improving work efficiency for rapid and non-destructive estimation of aboveground biomass of Tamarix desert.

Key words: Android platform, Tamarix ramosissima, biomass, non-destructive estimation

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