ARTIFICIAL NEURAL NETWORKS FOR ESTIMATING TREE VOLUME IN THE BRAZILIAN SAVANNA
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidade Federal de Lavras
2017
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| _version_ | 1876444195787374592 |
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| author | Talles Hudson Souza Lacerda |
| author_facet | Talles Hudson Souza Lacerda |
| contents | ARTIFICIAL NEURAL NETWORKS FOR ESTIMATING TREE VOLUME IN THE BRAZILIAN SAVANNA Talles Hudson Souza Lacerda Christian Dias Cabacin Carlos Alberto Araújo Júnior Renato Dourado Maia Klaus Wesley de Souza Lacerda Agrociencias ANN Dendrometry Artificial intelligence This paper seeks to estimate tree volumes of different species from the Brazilian savanna by using artificial neural networks and by making comparisons of results with estimates obtained from traditional volumetric equations. Data was obtained from 15 squared samples of 400 m² in an area of 29.6 ha. In each plot, breast height diameter (D) (diameter at 1.30 m from soil), total height (Ht) and commercial height (Hc) of all individuals with D equals or higher than 3.0 cm were measured. Afterwards, each tree was felled for volume measurement. Huber method was used considering measurement of stem diameters with more than 3.0 cm. Obtained data was used to train artificial neural networks (ANN) and to adjust volumetric equations to estimate total and commercial volume of trees. This study has shown that ANN and regression models are efficient for obtaining estimated volumes of trees in the Brazilian savanna. This suggests that artificial neural networks, that take into consideration species as a categorical input variable and were data trained, presented better results than those that are trained without categorical input. 2017 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74454660010 https://www.redalyc.org/journal/744/74454660010/ https://www.redalyc.org/journal/744/74454660010/html/ https://www.redalyc.org/journal/744/74454660010/74454660010.epub https://www.redalyc.org/journal/744/74454660010/movil en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.23 |
| format | Artículo científico |
| id | redalyc_74454660010 |
| institution | Redalyc |
| language | en |
| publishDate | 2017 |
| publisher | Universidade Federal de Lavras |
| spellingShingle | ARTIFICIAL NEURAL NETWORKS FOR ESTIMATING TREE VOLUME IN THE BRAZILIAN SAVANNA Talles Hudson Souza Lacerda Agrociencias ANN Dendrometry Artificial intelligence ARTIFICIAL NEURAL NETWORKS FOR ESTIMATING TREE VOLUME IN THE BRAZILIAN SAVANNA Talles Hudson Souza Lacerda Christian Dias Cabacin Carlos Alberto Araújo Júnior Renato Dourado Maia Klaus Wesley de Souza Lacerda Agrociencias ANN Dendrometry Artificial intelligence This paper seeks to estimate tree volumes of different species from the Brazilian savanna by using artificial neural networks and by making comparisons of results with estimates obtained from traditional volumetric equations. Data was obtained from 15 squared samples of 400 m² in an area of 29.6 ha. In each plot, breast height diameter (D) (diameter at 1.30 m from soil), total height (Ht) and commercial height (Hc) of all individuals with D equals or higher than 3.0 cm were measured. Afterwards, each tree was felled for volume measurement. Huber method was used considering measurement of stem diameters with more than 3.0 cm. Obtained data was used to train artificial neural networks (ANN) and to adjust volumetric equations to estimate total and commercial volume of trees. This study has shown that ANN and regression models are efficient for obtaining estimated volumes of trees in the Brazilian savanna. This suggests that artificial neural networks, that take into consideration species as a categorical input variable and were data trained, presented better results than those that are trained without categorical input. 2017 artículo científico 0104-7760 https://www.redalyc.org/articulo.oa?id=74454660010 https://www.redalyc.org/journal/744/74454660010/ https://www.redalyc.org/journal/744/74454660010/html/ https://www.redalyc.org/journal/744/74454660010/74454660010.epub https://www.redalyc.org/journal/744/74454660010/movil en http://www.redalyc.org/revista.oa?id=744 CERNE application/pdf Universidade Federal de Lavras CERNE (Brasil) Num.4 Vol.23 |
| title | ARTIFICIAL NEURAL NETWORKS FOR ESTIMATING TREE VOLUME IN THE BRAZILIAN SAVANNA |
| topic | Agrociencias ANN Dendrometry Artificial intelligence |
| url | https://www.redalyc.org/articulo.oa?id=74454660010 https://www.redalyc.org/journal/744/74454660010/ https://www.redalyc.org/journal/744/74454660010/html/ https://www.redalyc.org/journal/744/74454660010/74454660010.epub https://www.redalyc.org/journal/744/74454660010/movil |