Towards an Optimized Method of Olive Tree Crown Volume Measurement

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2015Author
Miranda-Fuentes, Antonio
Gamarra Diezma, Juan L.
Gil-Ribes, Jesús A.
Gil Moya, Emilio
Suggested citation
Miranda-Fuentes, Antonio;
Llorens Calveras, Jordi;
Gamarra Diezma, Juan L.;
Gil-Ribes, Jesús A.;
Gil Moya, Emilio;
.
(2015)
.
Towards an Optimized Method of Olive Tree Crown Volume Measurement.
Sensors, 2015, vol. 15, p. 3671-3687.
https://doi.org/10.3390/s150203671.
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Show full item recordAbstract
Accurate crown characterization of large isolated olive trees is vital for adjusting
spray doses in three-dimensional crop agriculture. Among the many methodologies
available, laser sensors have proved to be the most reliable and accurate. However, their
operation is time consuming and requires specialist knowledge and so a simpler crown
characterization method is required. To this end, three methods were evaluated and
compared with LiDAR measurements to determine their accuracy: Vertical Crown
Projected Area method (VCPA), Ellipsoid Volume method (V E ) and Tree Silhouette
Volume method (V TS ). Trials were performed in three different kinds of olive tree plantations:
intensive, adapted one-trunked traditional and traditional. In total, 55 trees were
characterized. Results show that all three methods are appropriate to estimate the crown
volume, reaching high coefficients of determination: R 2 = 0.783, 0.843 and 0.824 for
VCPA, V E and V TS , respectively. However, discrepancies arise when evaluating tree
plantations separately, especially for traditional trees. Here, correlations between LiDAR
volume and other parameters showed that the Mean Vector calculated for VCPA method
showed the highest correlation for traditional trees, thus its use in traditional plantations is
highly recommended.
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Sensors, 2015, vol. 15, p. 3671-3687European research projects
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