USE OF MOBILE APPLICATIONS FOR DETERMINING THE LEAF AREA OF COTTON PLANTS
DOI:
https://doi.org/10.31413/nat.v14i1.20143Palabras clave:
estimation, digital photography, Gossypium hirsutum L., image processingResumen
The objective of this study was to analyze leaf area data for four cotton cultivars estimated using the Petiole and LeafArea software, with leaf area calculated as the product of leaf length, leaf width, and a correction factor, and the LI-COR device method used as the standard for validation. The validation of the data estimated by the Petiole software and LeafArea, and the method by which leaf length and width correlate, was performed using statistical indices to evaluate precision and accuracy. The petiole showed the best performance in estimating leaf area for the cultivars TMG44B2RF, IMA5801B2RF, and FM985GLTP. The methodology using leaf dimension measurements and a correction factor is more effective for estimating the leaf area of cultivar BASF – FM 944GL. Among all the evaluated methods, the LeafArea method had the lowest effect on the leaf area of the cotton cultivars. The methodologies evaluated provide precise and accurate estimates of leaf area for the different cotton cultivars, with results that vary across cultivars.
Keywords: leaf morphometry; digital photography; Gossypium hirsutum L.; image processing.
Referencias
ABOUKARIMA, A. M.; ELSOURY, H. A.; MINYAWI, M. Simple mathematical models for predicting leaf area of cotton plant. Journal of Soil Sciences and Agricultural Engineering, v. 6, n. 2, p. 275-294, 2015. http://doi.org/10.21608/jssae.2015.41998
AIRES DOS SANTOS, D. M.; RAMOS, M. R.; MARANGONI, H.; BARBIERI, R. S.; CUNHA, M. L. O.; CORDEIRO, L. F. S. Análise econômica da adubação foliar em algodoeiro (Gossypium hirsuntum) cultivado em Palmas (TO). Revista Sítio Novo, v. 5, n. 3, p. 75-83, 2021. https://doi.org/10.47236/2594-7036.2021.V5.I3.75-83P
ALENCAR, L. P.; SEDIYAMA, G. C.; WANDERLEY, H. S.; ALMEIRA, T. S.; DELGADO, R. C. Avaliação de métodos de estimativa da evapotranspiração de referência para três localidades no Norte de Minas Gerais. Engenharia na Agricultura, v. 19, n. 5, p. 437-449, 2011. https://doi.org/10.13083/reveng.v19i5.260
ALLEN, J. P.; FEHER, G.; YEATES, T. O.; REES, D. C.; DEISENHOFER, J.; MICHEL, H.; HUBER, R. Structural homology of reaction centers from Rhodopseudomonas sphaeroides and Rhodopseudomonas viridis as determined by x-ray diffraction. Proceedings of the National Academy of Sciences, v. 83, n. 22, p. 8589-8593, 1986. https://doi.org/10.1073/pnas.83.22.8589
BATISTA, N. L.; ARANHA, T. S.; OLIVEIRA, K. S. M.; RODRIGUEIRO, M. M. S.; MOLLO NETO, M. SANTOS, P. S. B. Application of instrumentation in cotton cultivation: systematic literature review. Research, Society and Development, v. 11, n. 9, p. e46511930581, 2022. https://doi.org/10.33448/RSD-V11I9.30581
CAMARGO, A. P.; SENTELHAS, P. C. Avaliação do desempenho de diferentes métodos de estimativa da evapotranspiração potencial no Estado de São Paulo. Brasil. Revista Brasileira de Agrometeorologia, v. 5, n. 1, p. 89-97, 1997.
COLAIZZI, P. D.; EVETT, S. R.; BRAUER, D. K.; HOWELL, T. A.; TOLK, J. A.; COPELAND, K. S. Allometric method to estimate leaf area index for row crops. Agronomy Journal, v. 109, n. 3, p. 883-894, 2017. https://doi.org/10.2134/agronj2016.11.0665
FERREIRA, B. N.; MONTEBELLO, A. E. S.; SANTOS, J. A.; MAISTRO, M. C. M. Cotton production chain in Brazil. Research, Society and Development, v. 11, n. 10, e298111031730, 2022. https://doi.org/10.33448/RSD-V11I10.31730
GUANGJIAN, Y.; RONGHAI, H.; JINGHUI, L.; MARIE, W.; HAILAN, J.; XIHAN, M.; DONGHUI, X.; WUMING, Z. Review of indirect optical measurements of leaf area index: recent advances, challenges, and perspectives. Agricultural and Forest Meteorology, v. 265, p. 390-411, 2019. https://doi.org/10.1016/j.agrformet.2018.11.033
HU, W.; LU, Z.; MENG, F.; LI, X.; CONG, R.; REN, T.; SHARKEY, T. D.; LU, J. The reduction in leaf area precedes that in photosynthesis under potassium deficiency: the importance of leaf anatomy. New Phytologist, v. 227, n. 6, p. 1749-1763, 2020. https://doi.org/10.1111/nph.16644
JANSSEN, P. H. M.; HEUBERGER, P. S. C. Calibration of process-oriented models. Ecological Modeling, v. 83, p. 55-56, 1995. https://doi.org/10.1016/0304-3800(95)00084-9
KIZILDENIZ, T. Comparison of different tools and methods in the measurement of leaf area in alfalfa. Black Sea Journal of Engineering and Science, v. 6, n. 1, p. 32-35, 2023. https://doi.org/10.34248/bsengineering.1179597
KOYAMA, K.; SMITH, D. D. Scaling the leaf length-times-width equation to predict total leaf area of shoots. Annals of Botany, v. 130, n. 2, p. 215-230, 2022. https://doi.org/10.1093/aob/mcac043
LIMA, R. T.; SOUZA, P. J. O. P.; RODRIGUES, J. C.; LIMA, M. J. A. Modelos para estimativa da área foliar da mangueira utilizando medidas lineares. Revista Brasileira de Fruticultura, v. 34, n. 4, p. 974-980, 2012. https://doi.org/10.1590/S0100-29452012000400003
LIU, S.; JIN, X.; NIE, C.; WANG, S.; YU, X.; CHENG, M.; SHAO, M.; WANG, Z.; TUOHUTI, N.; YI, B.; LIU, Y.; NOTES, A. Estimating leaf area index using unmanned aerial vehicle data: shallow vs. deep machine learning algorithms. Plant Physiology, v. 187, n. 3, p. 1551-1576, 2021. https://doi.org/10.1093/plphys/kiab322
LIU, Z.; ZHU, Y.; LI, F.; JIN, G. Non-destructively predicting leaf area, leaf mass and specific leaf area based on a linear mixed-effect model for broadleaf species. Ecological Indicators, v. 78, p. 340-350, 2017. https://doi.org/10.1016/j.ecolind.2017.03.025
MA, Y.; ZHANG, W.; YI, X.; MA, L.; ZHANG, L.; HUANG, C.; ZHANG, Z.; LV, X. Estimation of cotton leaf area index (LAI) based on spectral transformation and vegetation index. Remote Sensing, v. 14, n. 1, p. 136, 2021. https://doi.org/10.3390/rs14010136
MEIRA, L. A.; PEREIRA, L. E. T.; SANTOS, M. E. R.; TECH, A. R. B. USPLeaf: Automatic leaf area determination using a computer vision system. Revista Ciência Agronômica, v. 51, n. 4, e20207300, 2020. https://doi.org/10.5935/1806-6690.20200073
MONTEIRO, J. E. B. A.; SENTELHAS, P. C.; CHIAVEGATO, E. J.; GUISELINI, C.; SANTIAGO, A. V.; PRELA, A. Estimação da área foliar do algodoeiro por meio de dimensões e massa das folhas. Bragantia, v. 64, n. 1, p. 15-24, 2005. https://doi.org/10.1590/S0006-87052005000100002
OLIVEIRA, V. S.; PINHEIRO, A. P. B.; SILVA, J. V. G.; JARDIM, A. S.; FERNANDES, A. A.; SCHMILDT, O.; ARANTES, S. D.; POSSE, R. P.; SCHMILDT, E. R. Uso de imagens digitalizadas para elaboração de equações que estime a área foliar de mudas de Eugenia uniflora L. International Journal of Development Research, v. 9, n. 11, p. 31062-31064, 2019.
PACHECO, A. B.; NASCIMENTO, J. G.; MOURA, L. B.; LOPES, T. R.; DUARTE, S. N.; COELHO, R. D.; MARQUES, P. A. A. Non-destructive and destructive methods to determine the leaf area of Zucchini. Journal of Agricultural Studies, v. 8, n. 3, p. 295-309, 2020. https://doi.org/10.5296/jas.v8i3.16299
PINHEIRO, F. S.; LYRA, G. B.; ABREU, M. C.; ARTHUT JUNIOR, J. C.; SILVA, L. D. B.; LYRA, G. B.; SANTOS, E. O. Área foliar de mudas de urucum (Bixa orellana L.) estimada por diferentes métodos: uma análise comparativa. Ciência Florestal, v. 30, n. 3, p. 885-897, 2020. https://doi.org/10.5902/1980509840896
RIBEIRO, J. E. S.; CÔELHO, E. S.; LOPES, W. A. R.; SILVA, E. F.; OLIVEIRA, A. K. S.; OLIVEIRA, P. H. A.; SILVA, A. G. C.; JARDIM, A. M. R. F.; SILVA, D. V.; BARROS JÚNIOR, A. P.; SILVEIRA, L. M. Allometric equations to predict the leaf area of castor bean cultivars. Ciência Rural, v. 55, n. 1, e20230550, 2025. https://doi.org/10.1590/0103-8478cr20230550
RIBEIRO, J. E. S.; NÓBREGA, J. S.; FIGUEIREDO, F. R. A.; FERREIRA, J. T. A.; PEREIRA, W. E.; BRUNO, R. L. A.; ALBUQUERQUE, M. B. Estimativa da área foliar de Mesosphaerum suaveolens a partir de relações alométricas. Rodriguésia, v. 71, e02952018, 2020. https://doi.org/10.1590/2175-7860202071115
RIBEIRO, J. E. S.; SILVA, A. G. C.; LIMA, J. V. L.; OLIVEIRA, P. H. A.; COÊLHO, E. S.; SILVEIRA, L. M.; BARROS JUNIOR, A. P. B. Leaf area prediction of sweet potato cultivars: an approach to a non-destructive and accurate method. South African Journal of Botany, v. 172, p. 42-51, 2024. https://doi.org/10.1016/j.sajb.2024.07.006
SABOURI, H.; SAJADI, S. J. Image processing and area estimation of chia (Salvia hispanica L.), quinoa (Chenopodium quinoa Willd.), and bitter melon (Momordica charantia L.) leaves based on statistical and intelligent methods. Journal of Applied Research on Medicinal and Aromatic Plants, v. 30, p. 1-15, 2022. https://doi.org/10.1016/j.jarmap.2022.100382
SALAZAR, J. C. S.; MELGAREJO, L. M.; BAUTISTA, E. H. D.; RIENZO, J. A. D.; CASANOVES, F. Non-destructive estimation of the leaf weight and leaf area in cacao (Theobroma cacao L.). Scientia Horticulturae, v. 229, p. 19-24, 2018. https://doi.org/10.1016/j.scienta.2017.10.034
SINGH, J.; SINGH, L.; KUMAR, A. Estimation of leaf area by mobile application: fast and accurate method. The Pharma Innovation, v. 10, p. 272-275, 2021. https://doi.org/10.22271/tpi.2021.v10.i4Se.6066
TAIZ, L.; ZEIGER, E.; MOLLER, I. M.; MURPHY, A. Fundamentos de Fisiologia Vegetal. 6 ed. Porto Alegre: Artmed Editora, 2021. 584p.
TEIXEIRA, P. C.; DONAGEMMA, G. K.; FONTANA, A.; TEIXEIRA, W. G. Manual de métodos de análise de solos. 3 ed. Brasília: Embrapa, 2017. 574p.
WILLMOTT, C. J.; ACKLESON, S. G.; DAVIS, R. E.; FEDDEMA, J. J.; KLINK, K. M.; LEGATES, D. R.; O´DONNELL, J.; ROWE, C. M. Statistics for the evaluation and comparison of models. Journal of Geophysical Research, v. 90, n. c5, p. 8995-9005, 1985. https://doi.org/10.1029/JC090iC05p08995
WU, F.; TANG, Q.; ZHANG, L.; CUI, J.; TIAN, L.; GUO, R.; WANG, L.; CHEN, B.; ZHANG, N.; ALI, S.; LIN, T.; JIANG, P. Reducing irrigation and increasing plant density enhance both light interception and light use efficiency in cotton under film drip irrigation. Agronomy, v. 13, n. 9, e2248, 2023. https://doi.org/10.3390/agronomy13092248
ZHANG, W. Digital image processing method for estimating leaf length and width tested using kiwifruit leaves (Actinidia chinensis Planch). PloS One, v. 15, n. 7, p. e0235499, 2020. https://doi.org/10.1371/journal.pone.0235499
ZHAO, W.; LIU, L.; SHEN Q.; YANG, J.; HAN, X.; TIAN, F.; WU, J. Effects of water stress on photosynthesis. yield and water use efficiency in winter wheat. Water, v. 12, n. 8, e2127, 2020. https://doi.org/10.3390/w12082127
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