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2009
DOI: 10.1051/fruits/2008049
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Leaf area estimation in some species of fruit tree by using models as a non-destructive method

Abstract: Leaf area estimation in some species of fruit tree by using models as a nondestructive method.Abstract --Introduction. Leaf area measurements are used commonly in the study of growth and development of fruit trees. These measurements can be made destructively by using a variety of sensitive instruments and/or non-destructively by using models of leaf area estimation. For models of leaf area estimation, some leaf parameters such as the length and width of leaves are usually used in the measurements. Constructio… Show more

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Cited by 53 publications
(46 citation statements)
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“…In this method there is no need of acquisition and use of expensive equipment and, especially, the leaf destruction (Peksen 2007;Demirsoy 2009;Rouphael et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…In this method there is no need of acquisition and use of expensive equipment and, especially, the leaf destruction (Peksen 2007;Demirsoy 2009;Rouphael et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…The main advantages of reliable models for estimating leaf area are the preservation of the canopy because of the possible utilization of the same leaves through equations [8], the lack of expensive equipment and labor, and the ease and rapidity in getting final results [6,9]. In fact, the utilization of regression equations for estimating leaf area through simple measurements of leaf dimensions is an inexpensive, easy, rapid, accurate and non-destructive alternative for assessing general plant leaf area in the field [5,9].…”
Section: Introductionmentioning
confidence: 99%
“…In fact, the utilization of regression equations for estimating leaf area through simple measurements of leaf dimensions is an inexpensive, easy, rapid, accurate and non-destructive alternative for assessing general plant leaf area in the field [5,9]. However, any proposed model should be validated with different leaf samples before using it for other experiments [6], as the accuracy of the prediction is dependent on the variation of leaf shape amongst species or cultivars [10].…”
Section: Introductionmentioning
confidence: 99%
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“…The work presented by Córcoles et al (2013) presents the option of automate this task, monitoring with drones, and GPS incorporated system with mission routes covering the strawberry plants area, especially if cultivated in the field (Xiang & Tian, 2011). In addition, it could help researches that requires the estimation of leaf coverage to study other abnormalities presents in plants through their leaflets (Demirsoy, 2009). Similarly, the algorithm meets the requirements for its portability on mobile devices, in accordance with current trends in technological consumption (Li, 2014).…”
Section: Resultsmentioning
confidence: 97%