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Artigo de periodico
Yield mapping methods for manually harvested crops (2020)
Colaço, A.F; Trevisan, R.G; Karp, F.H.S; Molin, Jose Paulo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: COLHEITA, FRUTAS, HORTALIÇAS, MAPAS, PRODUTIVIDADE, SAFRA, VARIABILIDADE ESPACIAL
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ABNT
COLAÇO, A.F et al. Yield mapping methods for manually harvested crops. Computers and Electronics in Agriculture, v. 177, p. 1-14, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105693. Acesso em: 24 abr. 2024.
APA
Colaço, A. F., Trevisan, R. G., Karp, F. H. S., & Molin, J. P. (2020). Yield mapping methods for manually harvested crops. Computers and Electronics in Agriculture, 177, 1-14. doi:10.1016/j.compag.2020.105693
NLM
Colaço AF, Trevisan RG, Karp FHS, Molin JP. Yield mapping methods for manually harvested crops [Internet]. Computers and Electronics in Agriculture. 2020 ; 177 1-14.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105693
Vancouver
Colaço AF, Trevisan RG, Karp FHS, Molin JP. Yield mapping methods for manually harvested crops [Internet]. Computers and Electronics in Agriculture. 2020 ; 177 1-14.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105693
Artigo de periodico
Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants (2014)
Romualdo, L. M.; Luz, Pedro Henrique de Cerqueira; Devechio, F. F. S.; Marin, M. A.; Zúñiga, A. M. G.; Bruno, Odemir Martinez; Herling, Valdo Rodrigues
Source: Computers and Electronics in Agriculture. Unidades: FZEA, IFSC
Subjects: MILHO, NUTRIÇÃO VEGETAL, MACRONUTRIENTES, VISÃO COMPUTACIONAL
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ABNT
ROMUALDO, L. M. et al. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants. Computers and Electronics in Agriculture, v. 104, p. 63-70, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2014.03.009. Acesso em: 24 abr. 2024.
APA
Romualdo, L. M., Luz, P. H. de C., Devechio, F. F. S., Marin, M. A., Zúñiga, A. M. G., Bruno, O. M., & Herling, V. R. (2014). Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants. Computers and Electronics in Agriculture, 104, 63-70. doi:10.1016/j.compag.2014.03.009
NLM
Romualdo LM, Luz PH de C, Devechio FFS, Marin MA, Zúñiga AMG, Bruno OM, Herling VR. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants [Internet]. Computers and Electronics in Agriculture. 2014 ; 104 63-70.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2014.03.009
Vancouver
Romualdo LM, Luz PH de C, Devechio FFS, Marin MA, Zúñiga AMG, Bruno OM, Herling VR. Use of artificial vision techniques for diagnostic of nitrogen nutritional status in maize plants [Internet]. Computers and Electronics in Agriculture. 2014 ; 104 63-70.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2014.03.009
Artigo de periodico
Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control (2020)
Vieira, Heitor de Freitas ; Faiçal, Bruno Squizato ; Silva, Alef Vinicius Cardoso e; Ueyama, Jó
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: AERONAVES NÃO TRIPULADAS, CONTROLE BIOLÓGICO, AGRICULTURA DE PRECISÃO, CUSTO DE OPERAÇÕES
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ABNT
VIEIRA, Heitor de Freitas et al. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. Computers and Electronics in Agriculture, v. 173, p. 1-10. 2020, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105387. Acesso em: 24 abr. 2024.
APA
Vieira, H. de F., Faiçal, B. S., Silva, A. V. C. e, & Ueyama, J. (2020). Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control. Computers and Electronics in Agriculture, 173, 1-10. 2020. doi:10.1016/j.compag.2020.105387
NLM
Vieira H de F, Faiçal BS, Silva AVC e, Ueyama J. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-10. 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105387
Vancouver
Vieira H de F, Faiçal BS, Silva AVC e, Ueyama J. Use of UAVs for an efficient capsule distribution and smart path planning for biological pest control [Internet]. Computers and Electronics in Agriculture. 2020 ; 173 1-10. 2020.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105387
Artigo de periodico
Time Stable Representative Position determination as affected by the considered part of an irrigation cycle (2019)
Silva, A. J. P; Lier, Quirijn de Jong van ; Coelho, E. F
Source: Computers and Electronics in Agriculture. Unidade: CENA
Subjects: IRRIGAÇÃO, SENSOR, UMIDADE DO SOLO
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ABNT
SILVA, A. J. P e LIER, Quirijn de Jong van e COELHO, E. F. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle. Computers and Electronics in Agriculture, v. 157, p. 281-287, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.002. Acesso em: 24 abr. 2024.
APA
Silva, A. J. P., Lier, Q. de J. van, & Coelho, E. F. (2019). Time Stable Representative Position determination as affected by the considered part of an irrigation cycle. Computers and Electronics in Agriculture, 157, 281-287. doi:10.1016/j.compag.2019.01.002
NLM
Silva AJP, Lier Q de J van, Coelho EF. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 281-287.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2019.01.002
Vancouver
Silva AJP, Lier Q de J van, Coelho EF. Time Stable Representative Position determination as affected by the considered part of an irrigation cycle [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 281-287.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2019.01.002
Artigo de periodico
The sensor to estimate the sound pressure level in eggs (2018)
Donofre, Ana Carolina; Silva, Iran José Oliveira da; Castro Júnior, Sérgio Luis de
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: BIOACÚSTICA, OVO, SENSOR, SOM
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ABNT
DONOFRE, Ana Carolina e SILVA, Iran José Oliveira da e CASTRO JÚNIOR, Sérgio Luis de. The sensor to estimate the sound pressure level in eggs. Computers and Electronics in Agriculture, v. 154, p. 420-425, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.09.027. Acesso em: 24 abr. 2024.
APA
Donofre, A. C., Silva, I. J. O. da, & Castro Júnior, S. L. de. (2018). The sensor to estimate the sound pressure level in eggs. Computers and Electronics in Agriculture, 154, 420-425. doi:10.1016/j.compag.2018.09.027
NLM
Donofre AC, Silva IJO da, Castro Júnior SL de. The sensor to estimate the sound pressure level in eggs [Internet]. Computers and Electronics in Agriculture. 2018 ; 154 420-425.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.09.027
Vancouver
Donofre AC, Silva IJO da, Castro Júnior SL de. The sensor to estimate the sound pressure level in eggs [Internet]. Computers and Electronics in Agriculture. 2018 ; 154 420-425.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.09.027
Artigo de periodico
The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel Ziv complexity (2011)
Cabral, Euvaldo F; Pécora, Paula Cristina; Arce, Aldo Ivan Céspedes; Tech, Adriano Rogério Bruno; Costa, Ernane Jose Xavier
Source: Computers and Electronics in Agriculture. Unidade: FZEA
Subjects: PROCESSAMENTO DIGITAL DE SINAIS, PLANTAS ORNAMENTAIS, ELETROFISIOLOGIA EM PLANTAS
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ABNT
CABRAL, Euvaldo F et al. The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel Ziv complexity. Computers and Electronics in Agriculture, v. 76, n. 1, p. 1-5, 2011Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2010.12.001. Acesso em: 24 abr. 2024.
APA
Cabral, E. F., Pécora, P. C., Arce, A. I. C., Tech, A. R. B., & Costa, E. J. X. (2011). The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel Ziv complexity. Computers and Electronics in Agriculture, 76( 1), 1-5. doi:10.1016/j.compag.2010.12.001
NLM
Cabral EF, Pécora PC, Arce AIC, Tech ARB, Costa EJX. The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel Ziv complexity [Internet]. Computers and Electronics in Agriculture. 2011 ; 76( 1): 1-5.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2010.12.001
Vancouver
Cabral EF, Pécora PC, Arce AIC, Tech ARB, Costa EJX. The oscillatory bioelectrical signal from plants explained by a simulated electrical model and tested using Lempel Ziv complexity [Internet]. Computers and Electronics in Agriculture. 2011 ; 76( 1): 1-5.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2010.12.001
Artigo de periodico
Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance (2018)
Bosquilia, Raoni W. D; Neale, Christopher M. U; Duarte, Sergio Nascimento; Longhi, Solon J; Ferraz, Sílvio Frosini de Barros; Muller-Karger, Frank E; McCarthy, Matthew J
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: CANA-DE-AÇÚCAR, EVAPOTRANSPIRAÇÃO, IMAGEAMENTO DE SATÉLITE, BALANÇO DE ENERGIA, BALANÇO HÍDRICO, GEOPROCESSAMENTO
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ABNT
BOSQUILIA, Raoni W. D et al. Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance. Computers and Electronics in Agriculture, v. 151, p. 70-76, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.06.003. Acesso em: 24 abr. 2024.
APA
Bosquilia, R. W. D., Neale, C. M. U., Duarte, S. N., Longhi, S. J., Ferraz, S. F. de B., Muller-Karger, F. E., & McCarthy, M. J. (2018). Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance. Computers and Electronics in Agriculture, 151, 70-76. doi:10.1016/j.compag.2018.06.003
NLM
Bosquilia RWD, Neale CMU, Duarte SN, Longhi SJ, Ferraz SF de B, Muller-Karger FE, McCarthy MJ. Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance [Internet]. Computers and Electronics in Agriculture. 2018 ; 151 70-76.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.06.003
Vancouver
Bosquilia RWD, Neale CMU, Duarte SN, Longhi SJ, Ferraz SF de B, Muller-Karger FE, McCarthy MJ. Temporal evaluation of evapotranspiration for sugar cane, planted forest and native forest using landsat 8 images and a two-source energy balance [Internet]. Computers and Electronics in Agriculture. 2018 ; 151 70-76.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.06.003
Artigo de periodico
Soilphysics: an R package for calculating soil water availability to plants by different soil physical indices (2016)
Lima, R.P; Silva, A. R; Silva, Álvaro Pires da; Leão, T. P; Mosaddeghi, M. R
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: FÍSICA DO SOLO, ÁGUA DO SOLO, SALINIDADE DO SOLO
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ABNT
LIMA, R.P et al. Soilphysics: an R package for calculating soil water availability to plants by different soil physical indices. Computers and Electronics in Agriculture, v. 120, p. 63–71, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.11.003. Acesso em: 24 abr. 2024.
APA
Lima, R. P., Silva, A. R., Silva, Á. P. da, Leão, T. P., & Mosaddeghi, M. R. (2016). Soilphysics: an R package for calculating soil water availability to plants by different soil physical indices. Computers and Electronics in Agriculture, 120, 63–71. doi:10.1016/j.compag.2015.11.003
NLM
Lima RP, Silva AR, Silva ÁP da, Leão TP, Mosaddeghi MR. Soilphysics: an R package for calculating soil water availability to plants by different soil physical indices [Internet]. Computers and Electronics in Agriculture. 2016 ; 120 63–71.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2015.11.003
Vancouver
Lima RP, Silva AR, Silva ÁP da, Leão TP, Mosaddeghi MR. Soilphysics: an R package for calculating soil water availability to plants by different soil physical indices [Internet]. Computers and Electronics in Agriculture. 2016 ; 120 63–71.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2015.11.003
Artigo de periodico
Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener (2016)
Johann, André Luiz; Delalibera, Hevandro C.; Araújo, Augusto Guilherme de; Hirakawa, André Riyuiti
Source: Computers and Electronics in Agriculture. Unidade: EP
Assunto: SISTEMAS DINÂMICOS
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ABNT
JOHANN, André Luiz et al. Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener. Computers and Electronics in Agriculture, v. 121, p. 420-428, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2015.12.020. Acesso em: 24 abr. 2024.
APA
Johann, A. L., Delalibera, H. C., Araújo, A. G. de, & Hirakawa, A. R. (2016). Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener. Computers and Electronics in Agriculture, 121, 420-428. doi:10.1016/j.compag.2015.12.020
NLM
Johann AL, Delalibera HC, Araújo AG de, Hirakawa AR. Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener [Internet]. Computers and Electronics in Agriculture. 2016 ; 121 420-428.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2015.12.020
Vancouver
Johann AL, Delalibera HC, Araújo AG de, Hirakawa AR. Soil moisture modeling based on stochastic behavior of forces on a no-till chisel opener [Internet]. Computers and Electronics in Agriculture. 2016 ; 121 420-428.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2015.12.020
Artigo de periodico
Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables (2018)
Sousa, Rafael Vieira de; Rodrigues, Alex Vinicius da Silva; Abreu, Mariana Gomes de; Tabile, Rubens Andre; Martello, Luciane Silva
Source: Computers and Electronics in Agriculture. Unidade: FZEA
Subjects: REDES NEURAIS, AGRICULTURA DE PRECISÃO, RADIAÇÃO TÉRMICA, BEM-ESTAR DO ANIMAL, BOVINOS DE CORTE, CONFINAMENTO ANIMAL
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ABNT
SOUSA, Rafael Vieira de et al. Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables. Computers and Electronics in Agriculture, v. 144, p. 37-43, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.11.033. Acesso em: 24 abr. 2024.
APA
Sousa, R. V. de, Rodrigues, A. V. da S., Abreu, M. G. de, Tabile, R. A., & Martello, L. S. (2018). Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables. Computers and Electronics in Agriculture, 144, 37-43. doi:10.1016/j.compag.2017.11.033
NLM
Sousa RV de, Rodrigues AV da S, Abreu MG de, Tabile RA, Martello LS. Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables [Internet]. Computers and Electronics in Agriculture. 2018 ; 144 37-43.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2017.11.033
Vancouver
Sousa RV de, Rodrigues AV da S, Abreu MG de, Tabile RA, Martello LS. Predictive model based on artificial neural network for assessing beef cattle thermal stress using weather and physiological variables [Internet]. Computers and Electronics in Agriculture. 2018 ; 144 37-43.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2017.11.033
Artigo de periodico
Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches (2021)
Maldaner, Leonardo Felipe ; Corrêdo, Lucas de Paula ; Canata, Tatiana Fernanda ; Molin, José Paulo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: AGRICULTURA DE PRECISÃO, COMPUTACIONAL, CANA-DE-AÇÚCAR, COLHEDORAS
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ABNT
MALDANER, Leonardo Felipe et al. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches. Computers and Electronics in Agriculture, v. 181, p. 1-9, 2021Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105945. Acesso em: 24 abr. 2024.
APA
Maldaner, L. F., Corrêdo, L. de P., Canata, T. F., & Molin, J. P. (2021). Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches. Computers and Electronics in Agriculture, 181, 1-9. doi:10.1016/j.compag.2020.105945
NLM
Maldaner LF, Corrêdo L de P, Canata TF, Molin JP. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches [Internet]. Computers and Electronics in Agriculture. 2021 ; 181 1-9.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105945
Vancouver
Maldaner LF, Corrêdo L de P, Canata TF, Molin JP. Predicting the sugarcane yield in real-time by harvester engine parameters and machine learning approaches [Internet]. Computers and Electronics in Agriculture. 2021 ; 181 1-9.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105945
Artigo de periodico
Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review (2019)
Maione, Camila; Barbosa Junior, Fernando ; Barbosa, Rommel Melgaço
Source: Computers and Electronics in Agriculture. Unidade: FCFRP
Subjects: ANÁLISE DE DADOS, APRENDIZADO COMPUTACIONAL, ADULTERAÇÃO DE ALIMENTOS, MEL
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ABNT
MAIONE, Camila e BARBOSA JUNIOR, Fernando e BARBOSA, Rommel Melgaço. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, v. 157, p. 436-446, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2019.01.020. Acesso em: 24 abr. 2024.
APA
Maione, C., Barbosa Junior, F., & Barbosa, R. M. (2019). Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review. Computers and Electronics in Agriculture, 157, 436-446. doi:10.1016/j.compag.2019.01.020
NLM
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
Vancouver
Maione C, Barbosa Junior F, Barbosa RM. Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: a review [Internet]. Computers and Electronics in Agriculture. 2019 ; 157 436-446.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2019.01.020
Artigo de periodico
Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion (2016)
Spekken, Mark; Bruin, Sytze de; Molin, José Paulo; Sparovek, Gerd
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: SISTEMA DE INFORMAÇÃO GEOGRÁFICA, ESCOAMENTO, EROSÃO, CULTIVO EM FAIXA, MÁQUINAS AGRÍCOLAS
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ABNT
SPEKKEN, Mark et al. Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion. Computers and Electronics in Agriculture, v. 124, p. 194–210, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2016.03.013. Acesso em: 24 abr. 2024.
APA
Spekken, M., Bruin, S. de, Molin, J. P., & Sparovek, G. (2016). Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion. Computers and Electronics in Agriculture, 124, 194–210. doi:10.1016/j.compag.2016.03.013
NLM
Spekken M, Bruin S de, Molin JP, Sparovek G. Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion [Internet]. Computers and Electronics in Agriculture. 2016 ; 124 194–210.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2016.03.013
Vancouver
Spekken M, Bruin S de, Molin JP, Sparovek G. Planning machine paths and row crop patterns on steep surfaces to minimize soil erosion [Internet]. Computers and Electronics in Agriculture. 2016 ; 124 194–210.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2016.03.013
Artigo de periodico
Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning (2017)
Conto, Tiago de; Olofsson, Kenneth; Görgens, Eric Bastos; Rodriguez, Luiz Carlos Estraviz; Almeida, Gustavo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: ALGORITMOS, ÁRVORES FLORESTAIS, CAULE, ROBUSTEZ, TECNOLOGIA LIDAR
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ABNT
CONTO, Tiago de et al. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning. Computers and Electronics in Agriculture, v. 143, p. 165-176, 2017Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2017.10.019. Acesso em: 24 abr. 2024.
APA
Conto, T. de, Olofsson, K., Görgens, E. B., Rodriguez, L. C. E., & Almeida, G. (2017). Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning. Computers and Electronics in Agriculture, 143, 165-176. doi:10.1016/j.compag.2017.10.019
NLM
Conto T de, Olofsson K, Görgens EB, Rodriguez LCE, Almeida G. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning [Internet]. Computers and Electronics in Agriculture. 2017 ; 143 165-176.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2017.10.019
Vancouver
Conto T de, Olofsson K, Görgens EB, Rodriguez LCE, Almeida G. Performance of stem denoising and stem modelling algorithms on single tree point clouds from terrestrial laser scanning [Internet]. Computers and Electronics in Agriculture. 2017 ; 143 165-176.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2017.10.019
Artigo de periodico
Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models (2022)
Turek, Maria Eliza ; Lier, Quirijn de Jong van ; Armindo, Robson André
Source: Computers and Electronics in Agriculture. Unidade: CENA
Subjects: ANÁLISE EM FLUXO CONTÍNUO, ÁGUA DO SOLO, CRESCIMENTO VEGETAL, PRODUÇÃO AGRÍCOLA
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ABNT
TUREK, Maria Eliza e LIER, Quirijn de Jong van e ARMINDO, Robson André. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models. Computers and Electronics in Agriculture, v. 194, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2022.106801. Acesso em: 24 abr. 2024.
APA
Turek, M. E., Lier, Q. de J. van, & Armindo, R. A. (2022). Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models. Computers and Electronics in Agriculture, 194. doi:10.1016/j.compag.2022.106801
NLM
Turek ME, Lier Q de J van, Armindo RA. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models [Internet]. Computers and Electronics in Agriculture. 2022 ; 194[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2022.106801
Vancouver
Turek ME, Lier Q de J van, Armindo RA. Parameterizing field capacity as the upper limit of available water in bucket-type hydrological models [Internet]. Computers and Electronics in Agriculture. 2022 ; 194[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2022.106801
Artigo de periodico
On supervised learning to model and predict cattle weight in precision livestock breeding (2022)
Biase, Adriele Giaretta ; Albertini, Tiago Zanett ; Mello, Rodrigo Fernandes de
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: REDES NEURAIS, PROCESSOS ESTOCÁSTICOS, PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS), SISTEMAS DINÂMICOS, PECUÁRIA DE CORTE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BIASE, Adriele Giaretta e ALBERTINI, Tiago Zanett e MELLO, Rodrigo Fernandes de. On supervised learning to model and predict cattle weight in precision livestock breeding. Computers and Electronics in Agriculture, v. 195, p. 1-19, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2022.106706. Acesso em: 24 abr. 2024.
APA
Biase, A. G., Albertini, T. Z., & Mello, R. F. de. (2022). On supervised learning to model and predict cattle weight in precision livestock breeding. Computers and Electronics in Agriculture, 195, 1-19. doi:10.1016/j.compag.2022.106706
NLM
Biase AG, Albertini TZ, Mello RF de. On supervised learning to model and predict cattle weight in precision livestock breeding [Internet]. Computers and Electronics in Agriculture. 2022 ; 195 1-19.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2022.106706
Vancouver
Biase AG, Albertini TZ, Mello RF de. On supervised learning to model and predict cattle weight in precision livestock breeding [Internet]. Computers and Electronics in Agriculture. 2022 ; 195 1-19.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2022.106706
Artigo de periodico
New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes (2020)
Arciniegas-Alarcón, Sergio; García-Peña, Marisol; Canas Rodrigues, Paulo
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: INTERAÇÃO GENÓTIPO-AMBIENTE, REAMOSTRAGEM JACKKNIFE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ARCINIEGAS-ALARCÓN, Sergio e GARCÍA-PEÑA, Marisol e CANAS RODRIGUES, Paulo. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes. Computers and Electronics in Agriculture, v. 176, p. 1-8, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2020.105617. Acesso em: 24 abr. 2024.
APA
Arciniegas-Alarcón, S., García-Peña, M., & Canas Rodrigues, P. (2020). New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes. Computers and Electronics in Agriculture, 176, 1-8. doi:10.1016/j.compag.2020.105617
NLM
Arciniegas-Alarcón S, García-Peña M, Canas Rodrigues P. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes [Internet]. Computers and Electronics in Agriculture. 2020 ; 176 1-8.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105617
Vancouver
Arciniegas-Alarcón S, García-Peña M, Canas Rodrigues P. New multiple imputation methods for genotype-by-environment data that combine singular value decomposition and Jackknife resampling or weighting schemes [Internet]. Computers and Electronics in Agriculture. 2020 ; 176 1-8.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2020.105617
Artigo de periodico
Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images (2024)
Soares, Victor Hugo Andrade ; Ponti, Moacir Antonelli ; Campello, Ricardo José Gabrielli Barreto
Source: Computers and Electronics in Agriculture. Unidade: ICMC
Subjects: APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE IMAGEM, AERONAVES NÃO TRIPULADAS, PECUÁRIA, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
SOARES, Victor Hugo Andrade e PONTI, Moacir Antonelli e CAMPELLO, Ricardo José Gabrielli Barreto. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Computers and Electronics in Agriculture, v. 220, p. 1-18, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2024.108828. Acesso em: 24 abr. 2024.
APA
Soares, V. H. A., Ponti, M. A., & Campello, R. J. G. B. (2024). Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images. Computers and Electronics in Agriculture, 220, 1-18. doi:10.1016/j.compag.2024.108828
NLM
Soares VHA, Ponti MA, Campello RJGB. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images [Internet]. Computers and Electronics in Agriculture. 2024 ; 220 1-18.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2024.108828
Vancouver
Soares VHA, Ponti MA, Campello RJGB. Multi-attribute, graph-based approach for duplicate cattle removal and counting in large pasture areas from multiple aerial images [Internet]. Computers and Electronics in Agriculture. 2024 ; 220 1-18.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2024.108828
Artigo de periodico
Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system (2019)
Tieppo, Rafael Cesar; Romanelli, Thiago Libório; Milan, Marcos; Sørensen, Claus Aage Grøn; Bochtis, Dionysis
Source: Computers and Electronics in Agriculture. Unidade: ESALQ
Subjects: MÁQUINAS AGRÍCOLAS, MILHO, PLANTIO DIRETO, SOJA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TIEPPO, Rafael Cesar et al. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, v. 156, p. 282-292, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.11.032. Acesso em: 24 abr. 2024.
APA
Tieppo, R. C., Romanelli, T. L., Milan, M., Sørensen, C. A. G., & Bochtis, D. (2019). Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system. Computers and Electronics in Agriculture, 156, 282-292. doi:10.1016/j.compag.2018.11.032
NLM
Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032
Vancouver
Tieppo RC, Romanelli TL, Milan M, Sørensen CAG, Bochtis D. Modeling cost and energy demand in agricultural machinery fleets for soybean and maize cultivated using a no-tillage system [Internet]. Computers and Electronics in Agriculture. 2019 ; 156 282-292.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.11.032
Artigo de periodico
Methods of image acquisition and software development for leaf area measurements in pastures (2018)
Tech, Adriano Rogério Bruno; Silva, André Luis Céspedes da; Meira, Luiz Antonio; Oliveira, Marcelo Eduardo; Pereira, Lilian Elgalise Techio
Source: Computers and Electronics in Agriculture. Unidade: FZEA
Subjects: DESENVOLVIMENTO DE SOFTWARE, PROCESSAMENTO DE IMAGENS, PASTAGENS, AGRICULTURA DE PRECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
TECH, Adriano Rogério Bruno et al. Methods of image acquisition and software development for leaf area measurements in pastures. Computers and Electronics in Agriculture, v. 153, p. 278-284, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.compag.2018.08.025. Acesso em: 24 abr. 2024.
APA
Tech, A. R. B., Silva, A. L. C. da, Meira, L. A., Oliveira, M. E., & Pereira, L. E. T. (2018). Methods of image acquisition and software development for leaf area measurements in pastures. Computers and Electronics in Agriculture, 153, 278-284. doi:10.1016/j.compag.2018.08.025
NLM
Tech ARB, Silva ALC da, Meira LA, Oliveira ME, Pereira LET. Methods of image acquisition and software development for leaf area measurements in pastures [Internet]. Computers and Electronics in Agriculture. 2018 ; 153 278-284.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.08.025
Vancouver
Tech ARB, Silva ALC da, Meira LA, Oliveira ME, Pereira LET. Methods of image acquisition and software development for leaf area measurements in pastures [Internet]. Computers and Electronics in Agriculture. 2018 ; 153 278-284.[citado 2024 abr. 24 ] Available from: https://doi.org/10.1016/j.compag.2018.08.025

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