Do low-cost digital tools allow measuring the cladode area?
DOI:
https://doi.org/10.18011/bioeng.2024.v18.1203Keywords:
pear cactus, linear regression, scannerAbstract
This study evaluated low-cost digital tools for estimating cladode area by mobile and fixed devices. We conducted the experiment at the Serra Talhada Academic Unit of the Federal Rural University of Pernambuco with pear cactus (Nopalea cochenillifera Salm-Dyck and Opuntia stricta (Haw.)). In this sense, we used four software to measure the cladode area: LAFore (fixed device), ImageJ (fixed device), Easy Leaf App (mobile device), and Petiole App (mobile device). We considered the LAFore software as a reference and used the following statistical parameters: linear regression, correlation coefficient (r), Willmott index (d), confidence index (c), and standard error of estimate (SEE). The software on fixed devices (ImageJ and LAFore) showed similar results, with performance considered excellent, and the Easy Leaf App showed a very good performance among mobile devices.
Downloads
References
Alvares, C. A., Stape, J. L., Sentelhas, P. C., de Moraes Gonçalves, J. L., & Sparovek, G. (2013). Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift, 22(6), 711–728. https://doi.org/10.1127/0941-2948/2013/0507 DOI: https://doi.org/10.1127/0941-2948/2013/0507
Bispo, S. V., Ferreira, M. de A., Véras, A. S. C., Batista, Â. M. V., Pessoa, R. A. S., & Bleuel, M. P. (2007). Palma forrageira em substituição ao feno de capim-elefante. Efeito sobreconsumo, digestibilidade e características de fermentação ruminal em ovinos. Revista Brasileira de Zootecnia, 36(6), 1902–1909. https://doi.org/https://doi.org/10.1590/S1516-35982007000800026 DOI: https://doi.org/10.1590/S1516-35982007000800026
Camargo, Â. P. de, & Sentelhas, P. C. (1997). Avaliação do desempenho de diferentes métodos de estimativa da evapotranspiração potencial no Estado de São Paulo. Revista Brasileira de Agrometeorologia, 5(1), 89–97.
Easlon, H. M., & Bloom, A. J. (2014). Easy Leaf Area: Automated digital image analysis for rapid and accurate measurement of leaf area. Applications in Plant Sciences, 2(7), 1400033. https://doi.org/10.3732/apps.1400033 DOI: https://doi.org/10.3732/apps.1400033
Favarin, J. L., Dourado Neto, D., García García, A., Augusto Villa Nova, N., & da Graça Guilherme Vieira Favarin, M. (2002). Equações para a estimativa do índice de área foliar do cafeeiro (1). In Pesq. agropec. bras (Issue 6). https://doi.org/10.1590/S0100-204X2002000600005 DOI: https://doi.org/10.1590/S0100-204X2002000600005
Klingler, A., Schaumberger, A., Vuolo, F., Kalmár, L. B., & Pötsch, E. M. (2020). Comparison of Direct and Indirect Determination of Leaf Area Index in Permanent Grassland. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 88(5), 369–378. https://doi.org/10.1007/s41064-020-00119-8 DOI: https://doi.org/10.1007/s41064-020-00119-8
Leytur, M., Gandolfo, E., Carnelos, D., Giardina, E., & di Benedetto, A. (2021). Biomass accumulation of schlumbergera truncata (Haw.) moran (thanksgiving cactus) grown under high pot density. Journal of the Professional Association for Cactus Development, 23, 121–133. https://doi.org/10.56890/jpacd.v23i.331 DOI: https://doi.org/10.56890/jpacd.v23i.331
Lins, F. A. C., Silva, J. L. B. da, Moura, G. B. de A., Ortiz, P. F. S., Oliveira, J. D. A., & Alves, M. V. C. (2017). Quantile technique to precipitation, rainfall anomaly index and biophysical parameters by remote sensing in Serra Talhada, Pernambuco. Journal of Hyperspectral Remote Sensing, 7(6), 334–344. https://doi.org/10.29150/jhrs.v7.6.p334-344 DOI: https://doi.org/10.29150/jhrs.v7.6.p334-344
Lucena, L. R., Leite, M. L., Simões, V. J., & Almeida, M. C. (2018). Área de cladódio da palma Opuntia stricta utilizando dimensões lineares. Agrarian Academy, 5(09), 46-55. https://doi.org/10.18677/Agrarian_Academy_2018a5 DOI: https://doi.org/10.18677/Agrarian_Academy_2018a5
Maldaner, I. C., Heldwein, A. B., Loose, L. H., Lucas, D. D. P., Guse, F. I., & Bortoluzzi, M. P. (2009). Modelos de determinação não-destrutiva da área foliar em girassol. Ciência Rural, Santa Maria, 39(5), 1356–1361. https://doi.org/10.1590/S0103-84782009000500008 DOI: https://doi.org/10.1590/S0103-84782009000500008
Matos, R. M. de, Neto, J. D., Lima, A. S. de, Silva, P. F. da, Borges, V. E., & Sobrinho, T. G. (2017). TEOR DE UMIDADE POR DIFERENTES MÉTODOS EM NEOSSOLO DO SEMIÁRIDO BRASILEIRO. Revista Brasileira de Agricultura Irrigada, 11(4), 1588–1597. https://doi.org/10.7127/rbai.v11n400622 DOI: https://doi.org/10.7127/rbai.v11n400622
Peksen, E. (2007). Non-destructive leaf area estimation model for faba bean (Vicia faba L.). Scientia Horticulturae, 113(4), 322–328. https://doi.org/10.1016/j.scienta.2007.04.003 DOI: https://doi.org/10.1016/j.scienta.2007.04.003
Pinheiro, K. M., da Silva, T. G. F., da Silva Diniz, W. J., de Sousa Carvalho, H. F., & de Moura, M. S. B. (2015). Métodos indiretos para determinação do 00EDndice de área do cladódio da palma forrageira. Pesquisa Agropecuaria Tropical, 45(2), 163–171. https://doi.org/10.1590/1983-40632015v4530617 DOI: https://doi.org/10.1590/1983-40632015v4530617
Schneider, C. A., Rasband, W. S., & Eliceiri, K. W. (2012). NIH Image to ImageJ: 25 years of image analysis. In Nature Methods (Vol. 9, Issue 7, pp. 671–675). https://doi.org/10.1038/nmeth.2089 DOI: https://doi.org/10.1038/nmeth.2089
Silva, T. G. F. da, de Miranda, K. R., dos Santos, D. C., de Queiroz, M. G., da Silva, M. C., da Cruz Neto, J. F., & Araújo, J. E. M. (2014). Area Do Cladódio De Clones De Palma Forrageira: Modelagem, Análise E Aplicabilidade. Revista Brasileirade Ciencias Agrarias, 9(4), 633–641. https://doi.org/10.5039/agraria.v9i4a4553 DOI: https://doi.org/10.5039/agraria.v9i4a4553
Singh, J., Kumar, A., & Singh, L. (2021). Performance of the petiole mobile application on the leaf area estimation as varied with calibration height. The Pharma Innovation, 10(4S), 337–341. https://doi.org/10.22271/tpi.2021.v10.i4sf.6089 DOI: https://doi.org/10.22271/tpi.2021.v10.i4Sf.6089
Tuyogon, D. S. J. (2020). Bio-uptake of metalloids (inorganic antimony and arsenic) by plants and development of electroanalytical methods for antimony detection and speciation. The University of Liverpool (United Kingdom) ProQuest Dissertations & Theses, 2020.
Xu, X., Chen, N., Feng, J., Zhou, M., He, J., Zou, Y., Shi, S., Zhou, Y., & Jenks, M. A. (2020). Comparative analyses of leaf cuticular lipids of two succulent xerophytes of the Ordos Plateau (Gobi Desert), Tetraena mongolica maxim and Zygophyllum xanthoxylum (Bunge) Engl. Environmental and Experimental Botany, 177. https://doi.org/10.1016/j.envexpbot.2020.104129. DOI: https://doi.org/10.1016/j.envexpbot.2020.104129
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Revista Brasileira de Engenharia de Biossistemas
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish in this journal agree to the following terms:
a) Authors retain the copyright and grant the journal the right of first publication, with the work simultaneously licensed under the Creative Commons Attribution License that allows the sharing of the work with recognition of authorship and initial publication in this journal.
b) Authors are authorized to assume additional contracts separately, for non-exclusive distribution of the version of the work published in this journal (eg, publish in an institutional repository or as a book chapter), with recognition of authorship and initial publication in this journal.