Non-destructive leaf area estimation in chestnut

By Ü. Serdar, H. Demirsoy. 2006

135 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Ecology, Plant Science

View Paper: https://www.semanticscholar.org/paper/7c7b806a22f3201917001ff4c1e3a0a401f7dfb0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. E. M. Gyves
2. A. Mouneimné
3. G. Colla
4. C. M. Rivera
5. Hema Singh
6. S. Pandey
7. Youssef Rouphael
8. A. Ismail

In Plant Science

1. G. Colla
2. Youssef Rouphael
3. E. M. Gyves
4. A. Mouneimné
5. C. M. Rivera
6. Hema Singh
7. S. Pandey
8. A. Ismail

Citations in the corpus

• Modeling individual leaf area of rose (Rosa hybrida L.) based on leaf length and width measurement (2010, background): “…and various models relating length and width to area have been developed for several fruit trees (Montero et al. 2000, Demirsoy et al. 2004, Serdar and Demirsoy 2006, Cristofori et al. 2007, Mendoza-de Gyves et al. 2007, Tsialtas et al. 2008) and vegetable crops (Stoppani et al. 2003, De…”
• Non-destructive estimation of maize leaf area, fresh weight, and dry weight using leaf length and leaf width (2010, background): “…(2007) also showed that there was a high correlation between leaf area and a combination of lamina length (L) and lamina width (W) in Vicia faba L. Serdar and Demirsoy (2006) developed a mathematical equation to estimate leaf area in chestnut (Castanea sp.) by measuring leaf length and leaf width…”
• Leaf area estimation by simple measurements and evaluation of leaf area prediction models in Cabernet-Sauvignon grapevine leaves (2008, unknown): “Repeated measurements such as in leaf expansion studies demand non-destructive determination of LA which is feasible only by using portable and expensive instruments or by developing LA prediction models (Serdar and Demirsoy 2006).”
• A Simple, Cost-Effective Method for Leaf Area Estimation (2011, background): “[19]), and Chestnut (Serdar and Demirsoy [20]).”
• A modeling study with an artificial neural network: developing estimationmodels for the tomato plant leaf area (2016, unknown): “Of these methods, indirect measuring methods are low-cost methods that can be calculated using simple mathematical equations and take less time than the direct measurement methods (Gamiely et al., 1991; Demirsoy and Demirsoy, 2003; Demirsoy et al., 2004; Serdar and Demirsoy, 2006).”
• Leaf area estimation of sunflower leaves from simple linear measurements (2007, background): “Moreover, the equations enable researchers to measure LA on the same plants during the plant growth period and may reduce variability in experiments (Serdar and Demirsoy 2006).”
• Allometric models for non-destructive leaf area estimation of Jatropha curcas (2012, background): “Non-destructive methods do not require leaves to be detached and reduce the variability associated with destructive sampling procedures, which is important because measurements must be repeated during the plant’s growth period [23,24].”