Proceedings :: International Society of Precision Agriculture

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Garreto, W

Hurtado, S.M

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Authors

Garreto, W

de Almeida, S

da Silva Sousa, W

costa souza, J

Bernardo Almeida , E

Lima dos Anjos, A

NUNES, V.M

Hurtado, S.M

Almeida, I

, A

Siquieroli, W.G

Cândido, G.P

Lazzarini, L.V

Topics

Remote and Proximal Sensing of Soils and Crops

Precision Agriculture for Sustainability and Environmental Protection

Type

Poster

Year

2026

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Filter results2 paper(s) found.
1. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza
2. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini Download paper

Filter results2 paper(s) found.

1. Estimation of Soybean Yield Using Remote Sensing and Soil Physical Attributes in Subsoiled Areas

Precision agriculture has incorporated these sensing and computational modeling technologies as strategic tools for monitoring crop development and estimating yield. In this context, the present study aimed to estimate soybean yield through vegetation indices obtained from satellite images, integrated with soil and plant variables, using artificial intelligence techniques. The experiment was conducted in a commercial field in the municipality of Brejo, Maranhão, in a region with a subhumid... W. Garreto, S. De Almeida, W. Da Silva Sousa, J. Costa Souza

2. Spatial Analysis of Physical and Sensory Attributes of Coffee Beans

Arabica coffee (Coffea arabica L.) is one of the crops with the greatest economic and social relevance in Brazil, with beverage quality being a differential of broad commercial value. This study aimed to evaluate the spatial variability of the physical and sensory attributes of coffee beans. The study was conducted during the 2023-24 crop season in a 27-hectare plot belonging to Fazenda Mandaguari, in Indianópolis, Minas Gerais, cultivated with the Topázio cultivar under... V.M. Nunes, S.M. Hurtado, I. Almeida, A. , W.G. Siquieroli, G.P. Cândido, L.V. Lazzarini

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