Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow
The application of biological products in agricultural crops has become increasingly prominent. The growth-promoting bacterium <i>Azospirillum brasilense</i> has been used as an alternative to promote greater yield in maize crops. In the context of precision agriculture, interpreting geo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Agronomy |
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| Online Access: | https://www.mdpi.com/2073-4395/13/3/808 |
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| author | George Deroco Martins Laura Cristina Moura Xavier Guilherme Pereira de Oliveira Maria de Lourdes Bueno Trindade Gallo Carlos Alberto Matias de Abreu Júnior Bruno Sérgio Vieira Douglas José Marques Filipe Vieira da Silva |
| author_facet | George Deroco Martins Laura Cristina Moura Xavier Guilherme Pereira de Oliveira Maria de Lourdes Bueno Trindade Gallo Carlos Alberto Matias de Abreu Júnior Bruno Sérgio Vieira Douglas José Marques Filipe Vieira da Silva |
| author_sort | George Deroco Martins |
| collection | DOAJ |
| description | The application of biological products in agricultural crops has become increasingly prominent. The growth-promoting bacterium <i>Azospirillum brasilense</i> has been used as an alternative to promote greater yield in maize crops. In the context of precision agriculture, interpreting geospatial data has allowed for monitoring the effect of the application of products that increase the yield of corn crops. The objective of this work was to evaluate the potential of Kriging techniques and spectral models through images in estimating the gain in yield of maize crop after applying <i>A. brasilense</i>. Analyses were carried out in two commercial areas treated with <i>A. brasilense</i>. The results revealed that models of yield prediction by Kriging with a high volume of training data estimated the yield gain with a root-mean-square error deviation (RMSE%), mean absolute percentage error (MAPE%), and R<sup>2</sup> to be 6.67, 5.42, and 0.88, respectively. For spectral models with a low volume of training data, yield gain was estimated with RMSE%, MAPE%, and R<sup>2</sup> to be 9.3, 7.71, and 0.80, respectively. The results demonstrate the potential to map the spatial distribution of productivity gains in corn crops following the application of <i>A. brasilense</i>. |
| first_indexed | 2024-03-11T07:03:07Z |
| format | Article |
| id | doaj.art-05e000b179ba43f9a1b8fd09f6a7b7d4 |
| institution | Directory Open Access Journal |
| issn | 2073-4395 |
| language | English |
| last_indexed | 2024-03-11T07:03:07Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Agronomy |
| spelling | doaj.art-05e000b179ba43f9a1b8fd09f6a7b7d42023-11-17T09:06:30ZengMDPI AGAgronomy2073-43952023-03-0113380810.3390/agronomy13030808Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in FurrowGeorge Deroco Martins0Laura Cristina Moura Xavier1Guilherme Pereira de Oliveira2Maria de Lourdes Bueno Trindade Gallo3Carlos Alberto Matias de Abreu Júnior4Bruno Sérgio Vieira5Douglas José Marques6Filipe Vieira da Silva7Instutute of Geography, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilPost Graduate Program in Agriculture and Geospatial Information, Institute of Agrarian Sciences, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilLallemand Soluções Biológicas LTDA, Patos de Minas 38706-420, BR-MG, BrazilCartography Departament, Faculdade de Ciências e Tecnologia, Universidade Estadual Paulista, São Paulo 19060-900, BrazilPost Graduate Program in Agriculture and Geospatial Information, Institute of Agrarian Sciences, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilInstitute of Agrarian Sciences, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilInstitute of Agrarian Sciences, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilInstutute of Geography, Unversidade Federal de Uberlândia, Monte Carmelo 38500-000, BR-MG, BrazilThe application of biological products in agricultural crops has become increasingly prominent. The growth-promoting bacterium <i>Azospirillum brasilense</i> has been used as an alternative to promote greater yield in maize crops. In the context of precision agriculture, interpreting geospatial data has allowed for monitoring the effect of the application of products that increase the yield of corn crops. The objective of this work was to evaluate the potential of Kriging techniques and spectral models through images in estimating the gain in yield of maize crop after applying <i>A. brasilense</i>. Analyses were carried out in two commercial areas treated with <i>A. brasilense</i>. The results revealed that models of yield prediction by Kriging with a high volume of training data estimated the yield gain with a root-mean-square error deviation (RMSE%), mean absolute percentage error (MAPE%), and R<sup>2</sup> to be 6.67, 5.42, and 0.88, respectively. For spectral models with a low volume of training data, yield gain was estimated with RMSE%, MAPE%, and R<sup>2</sup> to be 9.3, 7.71, and 0.80, respectively. The results demonstrate the potential to map the spatial distribution of productivity gains in corn crops following the application of <i>A. brasilense</i>.https://www.mdpi.com/2073-4395/13/3/808biological productgeospatial data analysisyield gain distribution map |
| spellingShingle | George Deroco Martins Laura Cristina Moura Xavier Guilherme Pereira de Oliveira Maria de Lourdes Bueno Trindade Gallo Carlos Alberto Matias de Abreu Júnior Bruno Sérgio Vieira Douglas José Marques Filipe Vieira da Silva Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow Agronomy biological product geospatial data analysis yield gain distribution map |
| title | Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow |
| title_full | Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow |
| title_fullStr | Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow |
| title_full_unstemmed | Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow |
| title_short | Using Geospatial Information to Map Yield Gain from the Use of <i>Azospirillum brasilense</i> in Furrow |
| title_sort | using geospatial information to map yield gain from the use of i azospirillum brasilense i in furrow |
| topic | biological product geospatial data analysis yield gain distribution map |
| url | https://www.mdpi.com/2073-4395/13/3/808 |
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