2018
DOI: 10.1007/s13196-018-0224-3
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Detection of decay and hollows in living almond trees (Terminalia catappa L. Roxb.) using electrical resistivity method

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Cited by 7 publications
(3 citation statements)
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“…Therefore, to mitigate the decay of trees, monitoring of growth and health of the tree is needed with a proper method. The electrical Resistivity Tomography (ERT) method can be used to detect tree decay (Larsson, et al, 2004;Soge, et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
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“…Therefore, to mitigate the decay of trees, monitoring of growth and health of the tree is needed with a proper method. The electrical Resistivity Tomography (ERT) method can be used to detect tree decay (Larsson, et al, 2004;Soge, et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…A conductive material, such as water, will produce a low resistivity value, while a non-conducting material, such as air, will produce a large resistivity value because electric current is difficult to flow. In the last decade, the development of the ERT method was also carried out to measure water content in tree trunks and structural differentiation in tree trunks (Lin, et al, 2012;Guyot, et al, 2013) as well as identification of tree decay (Larsson et al, 2004;Soge, et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…One major importance of acoustic technology that is of interest to forest managers is the assessment of tree and log qualities through the detection of deterioration (decay) (Wang et al, 2004a). Some of the challenges associated with tree decay and failure are loss of lives, and properties (Johnstone et al, 2015; Soge et al, 2018; Soge et al, 2019), economic and ecological values of a tree (Soge et al, 2018), and dimensional instability during service, amongst others. Therefore, providing adequate information on effective non-destructive evaluation methods would help forest managers identify hazardous trees, prevent the spread of decay, and improve stand conditions.…”
Section: Introductionmentioning
confidence: 99%