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Author(s): VASQUES, G. M.; RODRIGUES, H.; OLIVEIRA, R. P. de; CEDDIA, M. B.; HERNANI, L. C.; TAVARES, S. R. de L.

The objective was to integrate soil data from two proximal soil sensors to improve the delineation of homogeneous soil regions using a k-means clustering algorithm defining three distinct management z... ...

Repository: BDPA     Publication year: 2024

Author(s): VASQUES, G. de M.; RODRIGUES, H. M.; COELHO, M. R.; BACA, J. F. M.; DART, R. de O.; OLIVEIRA, R. P. de; TEIXEIRA, W. G.; CEDDIA, M. B.

Mapping soil properties, using geostatistical methods in support of precision agriculture and related activities, requires a large number of samples. To reduce soil sampling and measurement time and c... ...

Repository: BDPA     Publication year: 2020

Author(s): RODRIGUES, H.; CEDDIA, M. B.; TASSINARI, W.; VASQUES, G. M.; BRANDAO, Z. N.; MORAIS, J. P. S.; OLIVEIRA, R. P. de; NEVES, M. L.; TAVARES, S. R. de L.

The scientific field of precision agriculture employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impact. However, obtaining a high number o... ...

Repository: BDPA     Publication year: 2024

Author(s): ARRUDA, D. de C.; PITHAN, P. A.; HOFF, R.; DUCATI, J. R.

O sensoriamento remoto proximal ou em nível de folha, com sensores equipados de centenas ou milhares de bandas, contribui com perfis espectrais detalhados sobre estado vegetativo das plantas.

Repository: BDPA     Publication year: 2019

Author(s): NOGUEIRA, G. R.; MORAIS, M. S. de; MENEGAZZO, L.; BONANI, W. L.; ZORGETTO, A. A.; BERNARDI, A. C. de C.; MOSCHINI, L. E.; PEZZOPANE, J. R. M.

As gramíneas forrageiras tropicais, como a Urochloa (syn. Brachiaria) decumbens, são as mais utilizadas na bovinocultura extensiva e intensiva do Brasil. A U. decumbens é altamente aclimatada, princip... ...

Repository: BDPA     Publication year: 2019

Author(s): TAVARES, S. R. de L.; VASQUES, G. de M.; OLIVEIRA, R. P. de; DANTAS, M. M.; RODRIGUES, H. M.

Mapping the salinization in irrigated cropland is a challenging practice. As an alternative, data from proximal and remote sensors have been implemented together via datafusion and machine learning al... ...

Repository: BDPA     Publication year: 2022

Author(s): VASQUES, G. de M.; RODRIGUES, H. M.; OLIVEIRA, R. P. de; HERNANI, L. C.; TAVARES, S. R. de L.

The objectives are to delineate soil management zones from soil proximal sensor data, and compare soil property values among zones in a 72-ha crop field in southeastern Brazil. Apparent electrical con... ...

Repository: BDPA     Publication year: 2022

Author(s): MORAIS, M. S. de; ZORGETTO, A. A.; VOLPE, L. L.; NOGUEIRA, G. R.; MENEGAZZO, L.; BONANI, W. L.; BOURSCHEIDT; MOSCHINI, L. E.; BERNARDI, A. C. de C.; PEZZOPANE, J. R. M.

O conhecimento das propriedades e parâmetros biofísicos do solo e planta são importantes para o manejo adequado de insumos utilizados nas pastagens. Um parâmetro importante é o índice de área foliar (... ...

Repository: BDPA     Publication year: 2019

Author(s): OSCO, L. P.; RAMOS, A. P. M.; PINHEIRO, M. M. F.; MORIYA, E. A. S.; IMAI, N. N.; ESTRABIS, N.; IANCZYK, F.; ARAÚJO, F. F.; LIESENBERG, V.; JORGE, L. A. de C.; LI, J.; MA, L.; GONÇALVES, W. N.; MARCATO JUNIOR, J.; CRESTE, J. E.

This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient con... ...

Repository: BDPA     Publication year: 2020

Author(s): ALMEIDA, S. L. H. DE; SOUSA, J. B. C.; NOGUEIRA, S. F.; PEZZOPANE, J. R. M.; TEIXEIRA, A. H. DE C.; BOSI, C.; ADAMI, M.; ZERBATO, C.; BERNARDI, A. C. de C.; SILVA, G. B. S. da; SILVA, R. P. DA

Abstract: The operational slowness in the execution of direct methods for estimating forage mass, an important variable for defining the animal stocking rate, gave rise to the need for methods with fa... ...

Repository: BDPA     Publication year: 2023

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