Proceedings :: International Society of Precision Agriculture

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Otoboni, C.E

Oliveira, Z.B

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Authors

Bottega, E.L

Oliveira, Z.B

Queiroz, D

Coelho, A.L

Bernhard, G.B

Bottega, E.L

Oliveira, Z.B

Mundstock, F.D

Sausen, M.C

Bernhard, G.B

Mazega, M

Fortinis, H

Fischer, H

Luvizotto, C.K

Otoboni, C.E

de Almeida, M.C

Topics

Precision Agriculture for Sustainability and Environmental Protection

Remote and Proximal Sensing of Soils and Crops

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Type

Poster

Year

2026

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Filter results3 paper(s) found.
1. Soybean Yield Response to Apparent Soil Electrical Conductivity–based Management Zones Management zone delineation is a key strategy in precision agriculture, as it enables a better understanding and managing spatial variability in soil attributes and crop yield. Apparent soil electrical conductivity (ECa) has been widely used as an indirect indicator of soil physical and chemical properties and as a basis for defining homogeneous management zones. The objective of this study was to evaluate soybean yield behavior within management zones delineated using soil ECa.The study was conducted... E.L. Bottega, Z.B. Oliveira, D. Queiroz, A. Luiz de freitas coelho, G.B. Bernhard
2. Vegetation Indices Behavior in Soybean Management Zones Based on Apparent Soil Electrical Conductivity Understanding the spatial variability of crop development is essential for improving decision-making in precision agriculture. Vegetation indices derived from remote sensing have been widely used to monitor crop growth, biomass accumulation, and spatial heterogeneity within agricultural fields. When combined with management zones, these indices can provide valuable insights into the relationship between soil properties and crop performance. The objective of this study was to evaluate the behavior... E.L. Bottega, Z.B. Oliveira, F.D. Mundstock, M.C. Sausen, G.B. Bernhard
3. Mapping Digital Technologies, Cloud Platforms, and Artificial Intelligence in Precision Agriculture: The Software Baseline for a Citrus and Sugarcane Living Lab. The digital transformation of Precision Agriculture (PA) has been driven by the growing availability of Farm Management Information Systems (FMIS), cloud platforms, and Artificial Intelligence (AI) solutions. This study, linked to the Smart B100 Science for Development Center (CCD-SB100), funded by FAPESP and led by the Agronomic Institute of Campinas (IAC), Faac/Unesp (Bauru), in partnership with FATEC Pompeia, aimed to build a multicriteria matrix (technological inventory) of digital PA solutions... M. Mazega, H. Fortinis, H. Fischer, C.K. Luvizotto, C.E. Otoboni, M.C. De almeida Download paper

Filter results3 paper(s) found.

1. Soybean Yield Response to Apparent Soil Electrical Conductivity–based Management Zones

Management zone delineation is a key strategy in precision agriculture, as it enables a better understanding and managing spatial variability in soil attributes and crop yield. Apparent soil electrical conductivity (ECa) has been widely used as an indirect indicator of soil physical and chemical properties and as a basis for defining homogeneous management zones. The objective of this study was to evaluate soybean yield behavior within management zones delineated using soil ECa.The study was conducted... E.L. Bottega, Z.B. Oliveira, D. Queiroz, A. Luiz de freitas coelho, G.B. Bernhard

2. Vegetation Indices Behavior in Soybean Management Zones Based on Apparent Soil Electrical Conductivity

Understanding the spatial variability of crop development is essential for improving decision-making in precision agriculture. Vegetation indices derived from remote sensing have been widely used to monitor crop growth, biomass accumulation, and spatial heterogeneity within agricultural fields. When combined with management zones, these indices can provide valuable insights into the relationship between soil properties and crop performance. The objective of this study was to evaluate the behavior... E.L. Bottega, Z.B. Oliveira, F.D. Mundstock, M.C. Sausen, G.B. Bernhard

3. Mapping Digital Technologies, Cloud Platforms, and Artificial Intelligence in Precision Agriculture: The Software Baseline for a Citrus and Sugarcane Living Lab.

The digital transformation of Precision Agriculture (PA) has been driven by the growing availability of Farm Management Information Systems (FMIS), cloud platforms, and Artificial Intelligence (AI) solutions. This study, linked to the Smart B100 Science for Development Center (CCD-SB100), funded by FAPESP and led by the Agronomic Institute of Campinas (IAC), Faac/Unesp (Bauru), in partnership with FATEC Pompeia, aimed to build a multicriteria matrix (technological inventory) of digital PA solutions... M. Mazega, H. Fortinis, H. Fischer, C.K. Luvizotto, C.E. Otoboni, M.C. De almeida

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