Based on the Mechanical Characteristics of Wheat Biomass Detector Research

Abstract:

Biomass is an important index to reflect the situation of crop growth. It has a great significance to detect the wheat biomass quickly and nondestructively for wheat breeding and production management. In this paper, a wheat biomass detector prototype is developed based on the biomechanical characteristics of the natural growth wheat stalks, And then the accuracy of this prototype is validated.Through the analysis of data in field tests, the relevance between the resilience force of stem achieved by prototype detector and the ground biomass of wheat is more than 0.86. It means using the prototype detector to forecast the wheat biomass is feasible.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 3200-3205
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.3200
• Online since: May 2014
• Authors: Shi Sha Zhu, Xian Hua Lei*, Yan Shu Zhu, Jin Gang Liu
• Keywords: Biomass, Biomechanical Characteristics, Degree of Correlation, Prototype Detector, Wheat

References

[1] WU qiong, ZHU da-zhou, WANG cheng et al. Research Progress of Crop Seedling Growth Non-destructive Monitoring Technology[J]. Agricultural Engineering, 2011, 01(4): 19-25.

[2] Wang Da-cheng 1; 2; Wang Ji-hua 1; Jin Ning, et al. ANN-based wheat biomass estimation using canopy hyperspectral vegetation indices[J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(2): 196-201.

[3] Bastiaanssen W GM, Ali S. A new crop yield forecasting model based on satellite measurements applied across the Indus Basin, Pakistan Agriculture, Ecosystems and Environment, 2003, 94: 321- 340.

DOI: 10.1016/s0167-8809(02)00034-8

[4] Lobell DB, A sner GP, Oritiz Monasterio JI, et al. Remote sensing of regional crop production in the Yaqui Valley, Mexico: Estimates and uncertainties Agriculture, Ecosystems and Environment, 2003, 94: 205- 220.

DOI: 10.1016/s0167-8809(02)00021-x

[5] FAN Hai-ying; LI Chang; ZHAO Jun, Engineering Application of 3D Laser Scanning System in Precision Forestry Survey[J]. Bulletin of Surveying and Mapping, 2010, (2): 29-31.

[6] Song Hong, The Three-Dimensional Laser Scanning Measurement Technology and Application Analysis on ground. Geomatics Technology and Equipment, 2008, 10(2): 40-43.

[7] XU Yuan-jin; HU Guang-dao; ZHANG Zhen-fei, Object Identification of Hyperspectral Image Based on the Spectral Overall Shape and Local Absorption-band Positions[J]. Geomatics and Information Science of Wuhan University, 2010, 35(7): 868-872.

[8] XU gai-hua, ZHANG fu-ping, ZHOU zheng-chao et al. Estimation of Winter Wheat's Biomass Using Digital Photographs[J]. Resource Development & Market , 2011, 27(3): 193-196.

[9] National Research Center of Intelligent Equipment for Agriculture, Peping, Beijing, China. Handheld Detector Device and Method For Wheat Biomass : China, CN201210078528. 1[P]. 2012-8-15.

[10] National Research Center of Intelligent Equipment for Agriculture, Peping, Beijing; China. Based on The Moment of Wheat Biomass in Vivo Detection Device and Method : China, CN201010206484. 7[P]. 2010-11-10.

[11] D. Ehlert, V. Hammen, R. Adamek, On-line Sensor Pendulum-Meter for Determination of Plant Mass, Precision Agriculture, 2003, 4: 139-148.

DOI: 10.1023/a:1024553104963

[12] Y. Hirai, E. Inoue, K. Mori. Application of a Quasi-static Stalk Bending Analysis to the Dynamic Response of Rice and Wheat Stalks gathered by a Combine Harvester Reel [J]. Biosystems Engineering, 2004, 88(3): 281-294.

DOI: 10.1016/j.biosystemseng.2004.04.010