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A Soft Approach to Estimate Woody Volume of a Live Tree
Tree volume is one of the oldest areas of interest and is a crucial task in tree management system. Estimating the woody volume of a live tree is important for economic, scientific purposes and provides a tool to researcher/grower. It provides the useful information about the commercial value of wood to the potential buyer/seller. However, manual methods are being used largely to calculate woody volume of a tree. These methods are based on different log rules, cumbersome and laborious. The present work proposed a digital image processing technique to estimate the woody volume of a live tree. The developed program successfully determines the woody volume of standing tree trunk with MATLAB image processing techniques. In this method three parameters an individual tree were extracted from digital images of the tree. Calibration factor was also calculated to make the method independent of camera distance from the tree. The method was tested on several samples of trees and compared to experimental results. The soft approach generates information about height, diameter and volume of the tree. The percentage error of height, diameter at breast height and volume of standing tree by proposed method and experimental results was found to be less than 6.65%.
Keywords
Digital Image Processing, Diameter at Breast Height (DBH), Woody Volume of Live Tree.
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- Chaithanya C and Priya S, Object Weight Estimation From 2D Images. ARPN J Engg and Appl Sci. vol.10(17), pp.7574-78 (2015).
- Dean C. Calculation of Wood Volume and Stem Taper Using Terrestrial SingleImage Close- Range Photogrammetry and Contemporary Software Tools. SilvaI Fenn vol.37(3), pp.359-80 (2003).
- Garg D K, Thakur D, Sharma S and Bhardwaj S. ECG Paper Records Digitization through Image Processing Techniques. Int J Comp Appl. vol.48(13), pp.35-38 (2012).
- Ghasemi N, Sahebi M R and Mohammad zadeh A. A review on biomass estimation methods using synthetic aperture radar data. Int J Geomatics and Geosci. vol.1(4), pp.776-88 (2011).
- Jusoff H K. Estimating Acacia Mangium Plantation’s Standing Timber Volume Using an Airborne Hyperspectral Imaging System. Open Forest Sci J. vol.1, pp.61-67 (2008).
- Kaur S and Singh D. Geometric Feature Extraction of Selected Rice Grains using Image Processing Techniques. Int J of Comp Appl. vol.124(8), pp.41-46 (2015).
- Lu D, Chen Q, Wang Q, Liu L, Li G and Moran E. A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems. Int J Digital Earth. vol.9(1), pp.63-105 (2014).
- Mishra A, Asthana P and Khanna P. The Quality Identification of Fruits in Image Processing Using MATLAB. Int J Res Engg and Technol. vol.3(10), pp.92-95 (2014).
- Parmar D K, Ghodasara Y R, Patel K P, Patel K V and Kathiriya D R. Estimation of Plant Leaf Area using Java Image Processing Techniques. Int J Re and Innov Trends Computing and Comm. vol.3(2), pp.848-51 (2015).
- Patil S B and Bodhe S K. Image Processing Method to Measure Sugarcane Leaf Area. Int J Engg Processing. ARPN J Agril and Biol Sci. vol.2(6), pp.17-22 (2011).
- Sabliov C M, Boldor D, Keener K M and Farkas B E. Image Processing Method to Determine Surface Area and Volume of AxiSymmetric Agriculture Products. Int J Food Properties. vol.5(3), pp.641-53 (2002).
- Sharma S, Singh D and Chauhan S. An interactive computer vision system for tree ring analysis. Current Sci. vol.112(6), pp.1262-65 (2017).
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