Estimate of soybean defoliation via digital image processing in software
ABSTRACT This study aimed to develop and validate the digital image processing software to quantify leaf coverage, employing the correlation of defoliation values and NDVI with various gradients of defoliation severity of the Asian soybean rust pathosystem. The digital images were obtained from the...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Universidade Federal do Ceará
2022-05-01
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| Series: | Revista Ciência Agronômica |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100429&lng=en&tlng=en |
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| author | Roger Nabeyama Michels Marcelo Giovanetti Canteri Marcelo Augusto de Aguiar e Silva Carlos Alberto Paulinetti da Câmara Janksyn Bertozzi Tatiane Cristina Dal Bosco |
| author_facet | Roger Nabeyama Michels Marcelo Giovanetti Canteri Marcelo Augusto de Aguiar e Silva Carlos Alberto Paulinetti da Câmara Janksyn Bertozzi Tatiane Cristina Dal Bosco |
| author_sort | Roger Nabeyama Michels |
| collection | DOAJ |
| description | ABSTRACT This study aimed to develop and validate the digital image processing software to quantify leaf coverage, employing the correlation of defoliation values and NDVI with various gradients of defoliation severity of the Asian soybean rust pathosystem. The digital images were obtained from the experiment conducted in 2013/2014. To conduct the experiment, 4 treatments (3 replicates) were adopted, considering the useful floor area of each plot (4 linear meters, 3 lines spaced at 0.45 m). The gradients of defoliation were obtained by treatment with fungicide to control Asian soybean rust. The quantification of the disease severity was performed through diagrammatic scale. The NDVI values were obtained using the GreenSeeker®, conducting the equipment above the plants. The digital photos were obtained in three heights and subsequently processed in software. Then the defoliation sampling was held in 10 plants through treatment. The image processing data correlated with defoliation (94.22%) and with NDVI (89.27%), and we also observed the correlation of defoliation with NDVI (96.12%). These data suggests the use of digital images as an alternative to quantify the vegetation cover, with the advantage of being a dynamic and fast method that does not require experience from the assessor to quantify soybean defoliation. |
| first_indexed | 2024-12-12T03:41:34Z |
| format | Article |
| id | doaj.art-5cff969a403f4a0891793efe45436bf2 |
| institution | Directory Open Access Journal |
| issn | 1806-6690 |
| language | English |
| last_indexed | 2024-12-12T03:41:34Z |
| publishDate | 2022-05-01 |
| publisher | Universidade Federal do Ceará |
| record_format | Article |
| series | Revista Ciência Agronômica |
| spelling | doaj.art-5cff969a403f4a0891793efe45436bf22022-12-22T00:39:40ZengUniversidade Federal do CearáRevista Ciência Agronômica1806-66902022-05-015310.5935/1806-6690.20220029Estimate of soybean defoliation via digital image processing in softwareRoger Nabeyama Michelshttps://orcid.org/0000-0001-8031-4402Marcelo Giovanetti Canterihttps://orcid.org/0000-0002-6625-5909Marcelo Augusto de Aguiar e Silvahttps://orcid.org/0000-0003-3835-1124Carlos Alberto Paulinetti da Câmarahttps://orcid.org/0000-0002-6588-0155Janksyn Bertozzihttps://orcid.org/0000-0002-5680-613XTatiane Cristina Dal Boscohttps://orcid.org/0000-0002-2470-9853ABSTRACT This study aimed to develop and validate the digital image processing software to quantify leaf coverage, employing the correlation of defoliation values and NDVI with various gradients of defoliation severity of the Asian soybean rust pathosystem. The digital images were obtained from the experiment conducted in 2013/2014. To conduct the experiment, 4 treatments (3 replicates) were adopted, considering the useful floor area of each plot (4 linear meters, 3 lines spaced at 0.45 m). The gradients of defoliation were obtained by treatment with fungicide to control Asian soybean rust. The quantification of the disease severity was performed through diagrammatic scale. The NDVI values were obtained using the GreenSeeker®, conducting the equipment above the plants. The digital photos were obtained in three heights and subsequently processed in software. Then the defoliation sampling was held in 10 plants through treatment. The image processing data correlated with defoliation (94.22%) and with NDVI (89.27%), and we also observed the correlation of defoliation with NDVI (96.12%). These data suggests the use of digital images as an alternative to quantify the vegetation cover, with the advantage of being a dynamic and fast method that does not require experience from the assessor to quantify soybean defoliation.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100429&lng=en&tlng=enPhakopsora pachyrhiziNDVIReflectanceLeaf coverageRGB |
| spellingShingle | Roger Nabeyama Michels Marcelo Giovanetti Canteri Marcelo Augusto de Aguiar e Silva Carlos Alberto Paulinetti da Câmara Janksyn Bertozzi Tatiane Cristina Dal Bosco Estimate of soybean defoliation via digital image processing in software Revista Ciência Agronômica Phakopsora pachyrhizi NDVI Reflectance Leaf coverage RGB |
| title | Estimate of soybean defoliation via digital image processing in software |
| title_full | Estimate of soybean defoliation via digital image processing in software |
| title_fullStr | Estimate of soybean defoliation via digital image processing in software |
| title_full_unstemmed | Estimate of soybean defoliation via digital image processing in software |
| title_short | Estimate of soybean defoliation via digital image processing in software |
| title_sort | estimate of soybean defoliation via digital image processing in software |
| topic | Phakopsora pachyrhizi NDVI Reflectance Leaf coverage RGB |
| url | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100429&lng=en&tlng=en |
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