A handheld device for leaf area measurement

Computers and Electronics in Agriculture

Volumn 98, Issue , 2013, Pages 74-80

  Gong, Aiping ^a,b   Wu, Xiang ^b   Qiu, Zhengjun ^b   He, Yong ^b  

^a SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Image processing; Java; Pixel; Touch panel monitor

Indexed keywords

COMPUTER VISION; HAND HELD COMPUTERS; IMAGE PROCESSING; LITHIUM; PIXELS;

ELECTRONIC TECHNOLOGIES; IMAGE PROCESSING - METHODS; IMAGE PROCESSING TECHNIQUE; JAVA; LEAF AREA MEASUREMENTS; MACHINE VISION SYSTEMS; SEMI-AUTOMATIC IMAGE SEGMENTATION; TOUCH PANELS;

COMPUTER SOFTWARE;

ACCURACY ASSESSMENT; ADVANCED TECHNOLOGY; DECIDUOUS TREE; ELECTRONIC EQUIPMENT; ERROR ANALYSIS; FILTER; FRUIT; IMAGE PROCESSING; LEAF AREA; MOBILE COMMUNICATION; PIXEL; SEGMENTATION; SOFTWARE; VEGETABLE;

LINCOLN [NEBRASKA]; NEBRASKA; UNITED STATES;

ACER; LYCOPERSICON ESCULENTUM; SOLANUM MELONGENA;

EID: 84883047245     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.07.013     Document Type: Article

References (30)

1. Annamalai, P., Lee, W.S., Burks, T., 2004. Color vision system for estimating citrus yield in real-time. An ASAE/CSAE Meeting Presentation. Paper Number: 043054.
2. Baker B., Olszyk M., Tingey D. Digital image analysis to estimate leaf area. J. Plant Physiol. 1996, 148:530-535.
3. Bejanin, M., Huertas, A., Medioni, G., Nevatia, R., 1994. Model validation for change detection [machine vision]. In: Proceeding of the Second IEEE Workshop on, Appl. Comput. Vis. vol. 12, pp. 160-167.
4. Bignami C., Rossini F. Image analysis estimation of leaf area index and plant size of young hazelnut plants. J. Hortic. Sci. Biotechnol. 1996, 71:113-121.
5. Blanco F.F., Folegatti M.V. A new method for estimating the leaf area index of cucumber and tomato plants. Hortic. Bras. 2003, 21(4):666-669.
6. Chien C.F., Lin T.T. Leaf area measurement of selected vegetable seedlings using elliptical Hough transform. Trans. ASAE 2002, 45(5):1669-1677.
7. De Jesus W.C.J., Do Vale F.X.R., Coelho R.R., Costa L.C. Comparison of two methods for estimating leaf area index on common bean. Agron. J. 2001, 93:989-991.
8. Davies, E.R., 2005. Machine Vision: Theory, Algorithms, Practicalities. Elsevier, September.
9. Ercal F., Moganti M., Stoecker W., Moss R. Detection of skin tumor boundaried in color images. Comput. J. IEEE Trans. Med. Imag. 1993, 12:132-141.
10. Falah, R., Bolon, P., Cocquerez, J., 1994. A region region and region edge cooperative approach to image segmentation. In: IEEE Int. Conf. Image Process, USA, pp. 470-474.
11. Gadelmawla E.S. Computer vision algorithms for measurement and inspection of spur gears. Measurement 2011, 44:1669-1678.
12. Gyves E.M., Cristofori V., Fallovo C., Rouphael Y., Bignami C. Accurate and rapid technique for leaf area measurement in medlar (Mespilus germanica L.). Adv. Hortic. Sci. 2008, 22(3):223-226.
13. Gong, A., Yu, J., He, Y., Qiu, Z., 2013. Citrus yield estimation based on image processed by an Android mobile phone. Biosys. Eng.
14. Gorpas D., Politopoulos K., Yova D. A binocular machine vision system for three-dimensional surface measurement of small objects. Comput. Med. Imag. Graph. 2007, 31:625-637.
15. Heiskanen V., Marjanen K., Kallio P. Machine vision based measurement of dynamic contact angles in microchannel flows. J. Bionic Eng. 2008, 5:282-290.
16. Igathinathane C., Ulusoy U., Pordesimo L.O. Comparison of particle size distribution of celestite mineral by machine vision ∑volume approach and mechanical sieving. Powder Technol. 2012, 216:137-146.
17. Igathinathane Eg, Prakash V.S.S., Padma U., Ravi Babu G., Womac A.R. Interactive computer software development for leaf area measurement. Comput. Electron. Agric. 2006, 51:1-16.
18. Jia Z.Y., Wang B.G., Liu W., Sun Y.W. An improved image acquiring method for machine vision measurement of hot formed parts. J. Mater. Process. Technol. 2010, 210:267-271.
19. JSR 219. Foundation profile 1.1. 2005. http://jcp.org/en/jsr/detail?id=219.
20. Kucukkaya A.G. Photogrammetry and remote sensing in archeology. J. Quant. Spectrosc. Radiat. Transfer. 2004, 88:83-88.
21. Malamas E.N., Petrakis E.G.M., Zervakis M., Petit L., Legat J.D. A survey on industrial vision systems, applications and tools. Image Vis. Comput. 2003, 21:171-188.
22. Nyakwende E., Paull C.J., Atherton J.G. Non-destructive determination of leaf area in tomato plants using image processing. J. Hortic. Sci. Biotechnol. 1997, 72:225-262.
23. O'Neal M.E., Landis D.A., Isaacs R. An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. J. Econ. Entomol. 2002, 95(6):1190-1194.
24. [Online], JDK. 2008.
25. [Online], KVM package. 2006.
26. Perona P., Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 1990, 12:629-639.
27. Rouphael Y., Mouneimne A.H., Ismail A., Gyves E.M., Rivera C.M., Colla G. Modeling individual leaf area of rose (Rosa hybrid L.) based on leaf length and width measurement. Photosynthetica 2010, 48:9-15.
28. Trooien T.P., Heermann D.F. Measurement and simulation of potato leaf area using image processing: III. Measurement. Trans. ASAE 1992, 35(5):1719-1721.
29. Wu J., Tillett R., McFarlane N., Ju X., Siebert J.P., Schofield P. Extracting the three-dimensional shape of live pigs using stereo photogrammetry. Comput. Electron. Agric. 2004, 44:203-222.
30. Wang, Z., Bovik, A.C., Lu, L.G., 2002. Why is image quality assessment so difficult. In: Proc. IEEE Int. Conf. Acoust., Speech, Signal Process., pp. 3313-3316.