Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
References
- Abràmoff M.D., Magalhães P.J., Ram S.J. 2004. Image processing with ImageJ. Biophotonics International 11(7): 36–42.
- Adamsen F.J., Coffelt T.A., Nelson J.M., Barnes E.M., Rice R.C. 2000. Method for using images from a color digital camera to estimate flower number. Crop Science 40(3): 704–709. DOI: 10.2135/crop-sci2000.403704x.
- Aggelopoulou A.D., Bochtis D., Fountas S., Swain K.C., Gemtos T.A., Nanos G.D. 2011. Yield prediction in apple orchards based on image processing. Precision Agriculture 12(3): 448–456. DOI: 10.1007/s11119-010-9187-0.
- Arjenaki O.O., Motlagh A.M., Moghaddam P.A. 2012. A new method for estimating surface area of cylindrical fruits (zucchini) using digital image processing. Australian Journal of Crop Science 6(9): 1332–1336.
- Brunes A.P., de Souza Araújo Á., Dias L.W., Villela F.A., Aumonde T.Z. 2016. Seedling length in wheat determined by image processing using mathematical tools. Revista Ciência Agronômica 47(2): 374–379. DOI: 10.5935/1806-6690.20160044.
- Bukovac M.J., Sabbatini P., Zucconi F., Schwallier P.G. 2010. A long-term study on native variation of flowering and fruiting in spur-type ‘Delicious’ apple. HortScience 45(1): 22–29. DOI: 10.21273/hortsci.45.1.22.
- Byers R.E., Carbaugh D.H. 2002. Effects of thinning time on yield, fruit size, and return bloom of ‘York’ and ‘Golden Delicious’ apple trees. Journal of Tree Fruit Production 3(1): 55–62. DOI: 10.1300/J072v03n01_05.
- Dobbs M., Rowling D. 2006. Revisiting the New Zealand apple industry: the impacts of change. British Food Journal 108(7): 574–585. DOI: 10.1108/00070700610676389.
- Easlon H.M., Bloom A.J. 2014. Easy Leaf Area: Automated digital image analysis for rapid accurate measurement of leaf area. Applications in Plant Sciences 2(7); 1400033; 4 p. DOI: 10.3732/apps.1400033.
- Gao J.C., Guo G.J, Guo Y.M., Wang X.X. Du Y.C. 2011. Measuring plant leaf area by scanner and ImageJ software. China Vegetables 2011(1): 73–77. [in Chinese with English abstract]
- Guo W., Fukatsu T., Ninomiya S. 2015. Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images. Plant Methods 11; 7; 14 p. DOI: 10.1186/s13007-015-0047-9.
- Hočevar M., Širok B., Godeša T., Stopar M. 2014. Flowering estimation in apple orchards by image analysis. Precision Agriculture 15: 466–478. DOI: 10.1007/s11119-013-9341-6.
- Juneau K.J., Tarasoff C.S. 2012. Leaf area and water content changes after permanent and temporary storage. PLoS ONE 7(8); e42604; 6 p. DOI: 10.1371/journal.pone.0042604.
- Lordan J., Pascual M., Fonseca F., Montilla V., Papió J., Rufat J., Villar J.M. 2015. An image-based method to study the fruit tree canopy and the pruning biomass production in a peach orchard. HortScience 50(12): 1809–1817. DOI: 10.21273/hortsci.50.12.1809.
- Lukina E.V., Stone M.L., Raun W.R. 1999. Estimating vegetation coverage in wheat using digital images. Journal of Plant Nutrition 22(2): 341–350. DOI: 10.1080/01904169909365631.
- Monselise S.P., Goldschmidt E.E. 1982. Alternating bearing in fruit trees. Horticultural Reviews 4: 128–173. DOI: 10.1002/9781118060773.ch5.
- Ohnishi S., Miyoshi T., Shirai S. 2010. Low temperature stress at different flower developmental stages affects pollen development, pollination, and pod set in soybean. Environmental and Experimental Botany 69: 56–62. DOI: 10.1016/j.envexpbot.2010.02.007.
- O’Neal M.E., Landis D.A., Isaacs R. 2002. An inexpensive, accurate method for measuring leaf area and defoliation through digital image analysis. Journal of Economic Entomology 95(6): 1190–1194. DOI: 10.1603/0022-0493-95.6.1190.
- Padmavathi K., Thangadurai K. 2016. Implementation of RGB and grayscale images in plant leaves disease detection – comparative study. Indian Journal of Science and Technology 9(6); 6 p. DOI: 10.17485/ijst/2016/v9i6/77739.
- Patil S.B., Bodhe S.K. 2011. Image processing method to measure sugarcane leaf area. International Journal of Engineering Science and Technology 3(8): 6393–6400.
- Polder G., Hovens H.L.E., Zweers A.J. 2010. Measuring shoot length of submerged aquatic plants using graph analysis. Proceedings of the ImageJ User and Developer Conference 2010, Mondorf-les-Bains, Luxembourg, October 27–29, pp. 172–177.
- Reginato G.M. 2002. Theoretical quantitative approximation of density of plantations and determination of behavior of apple orchards. Revista Frutícola 23(3): 93–96.
- Rueden C.T., Schindelin J., Hiner M.C., DeZonia B.E., Walter A.E., Arena E.T., Eliceiri K.W. 2017. ImageJ2: ImageJ for the next generation of scientific image data. BMC Bioinformatics 18(1); 529; 26 p. DOI: 10.1186/s12859-017-1934-z.
- Saputra T.W., Masithoh R.E., Achmad B. 2017. Development of plant growth monitoring system using image processing techniques based on multiple images. Proceeding of the 1st International Conference on Tropical Agriculture, Bulaksumur, Indonesia, pp. 647–653. DOI: 10.1007/978-3-319-60363-6_65.
- Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T. et al. 2012. Fiji: an open-source platform for biological-image analysis. Nature Methods 9(7): 676–682. DOI: 10.1038/nmeth.2019.
- Schneider C.A., Rasband W.S., Eliceiri K.W. 2012. NIH Image to ImageJ: 25 years of image analysis. Nature Methods 9(7): 671–675. DOI: 10.1038/nmeth.2089.
- Spalding E.P., Miller N.D. 2013. Image analysis is driving a renaissance in growth measurement. Current Opinion in Plant Biology 16: 100–104. DOI: 10.1016/j.pbi.2013.01.001.
- Theron K.I., Steyn W.J., Jacobs G. 2000. Induction of proleptic shoot formation on pome fruit nursery trees. Acta Horticulturae 514: 235–244. DOI: 10.17660/actahortic.2000.514.27.
- Thorp K.R., Dierig D.A. 2011. Color image segmentation approach to monitor flowering in lesquerella. Industrial Crops and Products 34(1): 1150–1159. DOI: 10.1016/j.indcrop.2011.04.002.
- Treder W. 2010. Crop loading studies with ‘Jonagold’ apple tree. Journal of Fruit and Ornamental Plant Research 18(1): 59–69.
- Treder W., Klamkowski K., Kowalczyk W., Sas D., Wójcik K. 2016. Possibilities of using image analysis to estimate the nitrogen nutrition status of apple trees. Zemdirbyste-Agriculture 103(3): 319–326. DOI: 10.13080/z-a.2016.103.041.
- Viña A., Gitelson A.A., Rundquist D.C., Keydan G.P., Leavitt B., Schepers J.S. 2004. Monitoring maize (Zea mays L.) phenology with remote sensing. Agronomy Journal 96(4): 1139–1147. DOI: 10.2134/agronj2004.1139.
- Wang J., Zeng X., Liu J. 2011. Three-dimensional modeling of tea-shoots using images and models. Sensors 11(4): 3803–3815. DOI: 10.3390/s110403803.
Language: English
Page range: 85 - 94
Submitted on: Jul 1, 2021
Accepted on: Oct 1, 2021
Published on: Dec 13, 2021
Published by: National Institute of Horticultural Research
In partnership with: Paradigm Publishing Services
Publication frequency: 2 times per year
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© 2021 Waldemar Treder, Krzysztof Klamkowski, Anna Tryngiel-Gać, Katarzyna Wójcik, published by National Institute of Horticultural Research
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.