Journal article

Automated estimation of leaf area index from grapevine canopies using cover photography, video and computational analysis methods

S Fuentes, C Poblete-Echeverria, S Ortega-Farias, S Tyerman, R De Bei

Australian Journal of Grape and Wine Research | WILEY | Published : 2014


Background and Aims: Monitoring of canopy vigour is an important tool in vineyard management to obtain balanced vines (vegetative vs reproductive organs). Leaf area index is the main parameter representing canopy vigour. Our aim was to test an automated computational method to obtain leaf area index and canopy vigour parameters from grapevines with digital photography and video analysis using MATLAB programming techniques for rapid data uptake and gap size analysis. Methods and Results: The proposed method was tested against allometry at a Chilean experimental site planted with cv. Merlot. A temporal and spatial assessment of the method was also tested in a drought and drought/recovery exper..

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Awarded by Chilean projects CONICYT

Awarded by FONDECYT

Funding Acknowledgements

This project is supported by Australia's grape growers and winemakers through their investment body the Grape and Wine Research and Development Corporation, with matching funds from the Australian government. The four organisations, involved in this research project, The University of Adelaide, Commonwealth Scientific and Industrial Organisation, South Australian Research and Development Institute, The Australian Research Institute, are all part of the Wine Innovation Cluster ( authors thank staff from Yalumba Nurseries whose in-kind contribution has included irrigation supplies, irrigation system conversion and management of the vineyard, staff from the Irrigated Crop Management Service (ICMS) who designed the irrigation system conversion and have provided ongoing irrigation system advice, staff at Measurement Engineering Australia for in-kind contribution of field monitoring equipment. This project has been also undertaken on a collaborative basis with Universidad de Talca through the research program 'Adaptation of Agriculture to Climate Change (A2C2)' and Chilean projects CONICYT (No 79090035) and FONDECYT (No 3100128 and 11130601). Finally, we acknowledge the support given by Digital Globe Geospatial Industries for the WorldView-2 images.