Proceedings :: International Society of Precision Agriculture

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Soares de Souza, C

Sgarbossa, J

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Authors

Andrade, M

Soares de Souza, C

Silveira Pavão, L

Müllich, A

Rolim Farias da Silva, E

Cavalcanti, R

Silveira de Farias, M

Maldaner, I

Sgarbossa, J

, L

Kern, L.G

Kaefer Seganfredo, G

da Silva, G.B

Pegoraro, V.C

Kern, L.G

Silveira Pavão, L

Müllich,

Maldaner, I

, L

Sgarbossa, J

Kaefer Seganfredo, G

Rolim Farias da Silva, E

Silveira Farias, M

Kaefer Seganfredo, G

Kern, L.G

Silveira Pavão, L

Müllich, A

Maldaner, I

Sgarbossa, J

, L

Rolim Farias da Silva, E

Farias, M.S

Topics

Wireless Sensor Networks, Edge Computing, and Farm Connectivity

Digital Solutions for Soil Health, Water Quality, and Conservation Practices

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Site-Specific Nutrient, Lime and Seed Management

Type

Poster

Year

2026

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Authors

Filter results4 paper(s) found.
1. Scalable Offline Infrastructure for Agriculture 4.0: A Linux-Gateway Architecture for Edge Connectivity and Data Sovereignty Brazilian agribusiness has consolidated itself as an economic pillar, representing approximately 25% of the national GDP. However, the full rise of Agriculture 4.0 - characterized by the integration of IoT, Artificial Intelligence, and smart sensors -faces a scenario of profound technological inequality. Recent data indicate a disparate adoption of digital tools: while large-scale farms possess the financial capacity for complex infrastructures, small and medium-sized producers face connectivity... M. Andrade, C. Soares De Souza Download paper
2. Topographic Modeling Using Remotely Piloted Aircraft to Identify Areas with Water Erosion Potential and to Plan Sowing Lines Water erosion constitutes one of the main factors of agricultural soil degradation. In this context, knowledge of the topography of agricultural fields and the planning of sowing lines guided by geotechnologies emerges as a strategy to mitigate surface runoff and soil loss. This study aimed to perform the topographic modeling of an agricultural field and to analyze the effect of using different sowing line designs on the longitudinal slope of these lines. The study was conducted in an agricultural... L. Silveira Pavão, A. Müllich, E. Rolim Farias Da Silva, R. Cavalcanti, M. Silveira De Farias, I. , J. Sgarbossa, L.
3. Spatial Delineation of Site-Specific Management Units Using Vegetation Indices in Precision Agriculture Precision Agriculture has incorporated Remote Sensing as an essential tool for characterizing the spatial variability of agricultural crops. Among the available spectral indices, vegetation indices stand out for their ability to represent vegetative vigor and spatial patterns associated with crop performance. This study aimed to evaluate the spatial stability of spectral indices obtained from a median composite for management zone delineation and to analyze their agreement with a yield map in... L.G. Kern, L. Silveira Pavão, . Müllich, I. Maldaner, L. , J. Sgarbossa, G. Kaefer Seganfredo, E. Rolim Farias Da Silva, M. Silveira Farias Download paper
4. Relationship Between Temporal Variability of Soybean Yield and Stable Soil Attributes Management zones are widely used in precision agriculture and can be defined by different factors; however, uncertainties remain regarding their temporal stability when based on a single soil attribute. This study aimed to analyze the relationship between a temporal series of yield from five agricultural fields and four stable soil attributes—clay content, soil organic matter (SOM), Topographic Wetness Index (TWI), and apparent electrical conductivity (ECa)—using multiple linear regression... G. Kaefer Seganfredo, L.G. Kern, L. Silveira Pavão, A. Müllich, I. Maldaner, J. Sgarbossa, L. , E. Rolim Farias Da Silva, M.S. Farias Download paper

Filter results4 paper(s) found.

1. Scalable Offline Infrastructure for Agriculture 4.0: A Linux-Gateway Architecture for Edge Connectivity and Data Sovereignty

Brazilian agribusiness has consolidated itself as an economic pillar, representing approximately 25% of the national GDP. However, the full rise of Agriculture 4.0 - characterized by the integration of IoT, Artificial Intelligence, and smart sensors -faces a scenario of profound technological inequality. Recent data indicate a disparate adoption of digital tools: while large-scale farms possess the financial capacity for complex infrastructures, small and medium-sized producers face connectivity... M. Andrade, C. Soares De Souza

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2. Topographic Modeling Using Remotely Piloted Aircraft to Identify Areas with Water Erosion Potential and to Plan Sowing Lines

Water erosion constitutes one of the main factors of agricultural soil degradation. In this context, knowledge of the topography of agricultural fields and the planning of sowing lines guided by geotechnologies emerges as a strategy to mitigate surface runoff and soil loss. This study aimed to perform the topographic modeling of an agricultural field and to analyze the effect of using different sowing line designs on the longitudinal slope of these lines. The study was conducted in an agricultural... L. Silveira Pavão, A. Müllich, E. Rolim Farias Da Silva, R. Cavalcanti, M. Silveira De Farias, I. , J. Sgarbossa, L.

3. Spatial Delineation of Site-Specific Management Units Using Vegetation Indices in Precision Agriculture

Precision Agriculture has incorporated Remote Sensing as an essential tool for characterizing the spatial variability of agricultural crops. Among the available spectral indices, vegetation indices stand out for their ability to represent vegetative vigor and spatial patterns associated with crop performance. This study aimed to evaluate the spatial stability of spectral indices obtained from a median composite for management zone delineation and to analyze their agreement with a yield map in... L.G. Kern, L. Silveira Pavão, . Müllich, I. Maldaner, L. , J. Sgarbossa, G. Kaefer Seganfredo, E. Rolim Farias Da Silva, M. Silveira Farias

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4. Relationship Between Temporal Variability of Soybean Yield and Stable Soil Attributes

Management zones are widely used in precision agriculture and can be defined by different factors; however, uncertainties remain regarding their temporal stability when based on a single soil attribute. This study aimed to analyze the relationship between a temporal series of yield from five agricultural fields and four stable soil attributes—clay content, soil organic matter (SOM), Topographic Wetness Index (TWI), and apparent electrical conductivity (ECa)—using multiple linear regression... G. Kaefer Seganfredo, L.G. Kern, L. Silveira Pavão, A. Müllich, I. Maldaner, J. Sgarbossa, L. , E. Rolim Farias Da Silva, M.S. Farias

Download paper