Proceedings :: International Society of Precision Agriculture

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Müllich, A

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Authors

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

Rolim Farias da Silva, E

Lüdtke, L

Ductra Bortolotti, G

Maldaner, I

, L

Sgarbossa, J

Silveira Pavão, L

Müllich, A

Kaefer Seganfredo, G

Kern, L.G

Silveira Pavão, L

Müllich, A

Maldaner, I

Sgarbossa, J

, L

Rolim Farias da Silva, E

Farias, M.S

Müllich, A

Topics

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

Precision Crop Protection, Pest, and Plant Health

Site-Specific Nutrient, Lime and Seed Management

Workshops

Type

Poster

Oral

Year

2026

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Authors

Filter results4 paper(s) found.
1. 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.
2. Digital Agriculture in Decision-Making for Sustainable Disease Management in Soybean Crops Soybean (Glycine max L.) stands out as one of the main crops of agronomic interest, widely used in human and animal nutrition due to its high protein content and diversity of derivatives. Soybean crop productivity is strongly influenced by meteorological conditions, adopted management practices, and the incidence of pathogens, which can significantly reduce the plant’s photosynthetically active area, directly impacting final yield. In this context, the present study aimed to evaluate... E. Rolim Farias Da Silva, L. Lüdtke, G. Ductra Bortolotti, I. Maldaner, L. , J. Sgarbossa, L. Silveira Pavão, A. Müllich Download paper
3. 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
4. Drones as a Tool for Digital Agriculture in Soil and Water Management and Conservation The use of drones in agriculture has evolved rapidly; however, it is still underutilized in one of the most strategic areas of agricultural production: conservation planning of the terrain. This short course proposes a practical and applied approach on how to use imaging drones for planialtimetric digitalization of agricultural areas, focusing on soil and water management and conservation. Based on the generation of digital surface and terrain models (DSM/DTM), techniques will be demonstrated... A. Müllich Download paper

Filter results4 paper(s) found.

1. 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.

2. Digital Agriculture in Decision-Making for Sustainable Disease Management in Soybean Crops

Soybean (Glycine max L.) stands out as one of the main crops of agronomic interest, widely used in human and animal nutrition due to its high protein content and diversity of derivatives. Soybean crop productivity is strongly influenced by meteorological conditions, adopted management practices, and the incidence of pathogens, which can significantly reduce the plant’s photosynthetically active area, directly impacting final yield. In this context, the present study aimed to evaluate... E. Rolim Farias Da Silva, L. Lüdtke, G. Ductra Bortolotti, I. Maldaner, L. , J. Sgarbossa, L. Silveira Pavão, A. Müllich

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3. 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

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4. Drones as a Tool for Digital Agriculture in Soil and Water Management and Conservation

The use of drones in agriculture has evolved rapidly; however, it is still underutilized in one of the most strategic areas of agricultural production: conservation planning of the terrain. This short course proposes a practical and applied approach on how to use imaging drones for planialtimetric digitalization of agricultural areas, focusing on soil and water management and conservation. Based on the generation of digital surface and terrain models (DSM/DTM), techniques will be demonstrated... A. Müllich

Download paper