Journal article

Digital surface model applied to unmanned aerial vehicle based photogrammetry to assess potential biotic or abiotic effects on grapevine canopies

Baofeng Su, Jinru Xue, Chunyu Xie, Yulin Fang, Yuyang Song, Sigfredo Fuentes

International Journal of Agricultural and Biological Engineering | CHINESE ACAD AGRICULTURAL ENGINEERING | Published : 2016

Abstract

Accurate data acquisition and analysis to obtain crop canopy information are critical steps to understand plant growth dynamics and to assess the potential impacts of biotic or abiotic stresses on plant development. A versatile and easy to use monitoring system will allow researchers and growers to improve the follow-up management strategies within farms once potential problems have been detected. This study reviewed existing remote sensing platforms and relevant information applied to crops and specifically grapevines to equip a simple Unmanned Aerial Vehicle (UAV) using a visible high definition RGB camera. The objective of the proposed Unmanned Aerial System (UAS) was to implement a Digit..

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Grants

Awarded by National Natural Science Foundation of China


Awarded by Fundamental Research Funds for the Central Universities of China


Awarded by Exclusive Talent Funds of Northwest A&F University of China


Funding Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 41401391), the Fundamental Research Funds for the Central Universities of China (No. 2014YB071), the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, and the Exclusive Talent Funds of Northwest A&F University of China (No. 2013BSJJ017).