Proceedings :: International Society of Precision Agriculture

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Fiechter, C

Fernandes Queiroz Alves , R

Ferreira dos Santos, D

FARIAS DO NASCIMENTO, J

Faria, M.A

Fernandes, E

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Authors

Valdes Fernandez , G

Lacerda da Silveira, G

Fernandes Queiroz Alves , R

Costa Barboza, T

Arnosti, M.C

Felipe dos Santos, A

da Silva, W.B

Pereira da Costa, O

Aguiar Jordão, F

Santos, D.J

Dalevedo, G.D

Gaion, L.A

Pascoaloto, I.M

Fernandes, E

, J

Lemos, T.F

Colleta de Abreu Moral, P

Gaion, L.A

Gaspareto Filho, C.C

Pascoaloto, I.M

Fernandes, E

, J

de Lemos, T.F

Colussi, J

Erickson, B

Malone, T

Langemeier, M

Fiechter, C

Oliveira , T

Ramos da Silva, G

Souza, E.A

Oliveira, R.M

Souza, B.F

Faria, M.A

DE SOUZA Santos, R

HINES PORPINO SANTOS, E

FREITAS DO NASCIMENTO, J

FARIAS DO NASCIMENTO, J

GOMES MESQUITA, D

FREITAS DA SILVA, T

SILVA CAVALHEIRO, G

Topics

UAV-Based Scouting, Imaging, and Targeted Applications

Site-Specific Nutrient, Lime and Seed Management

Drivers and Barriers to Adoption of Precision and Digital Technologies

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

Type

Oral

Poster

Year

2026

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Authors

Filter results6 paper(s) found.
1. Automated Initial Plant Stand Assessment in Bean Crops Using Uav-based Yolov8 Detection The use of RGB images acquired by unmanned aerial vehicles (UAVs), combined with artificial intelligence techniques, has increased significantly in recent years for object identification and crop monitoring in agriculture. These technologies enable rapid plant stand count, facilitating decision-making processes. However, limited information is available regarding the optimal flight height for identifying bean plants at early growth stages. Therefore, the objective of this study was to evaluate... G. Valdes Fernandez , G. Lacerda Da Silveira, R. Fernandes Queiroz Alves , T. Costa Barboza, M.C. Arnosti, A. Felipe Dos Santos, W.B. Da Silva, O. Pereira Da Costa Download paper
2. Silage Corn Production Under Different Management Strategies: Conventional and 4.0 Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos Download paper
3. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional Systems Agriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos Download paper
4. Benchmarking Precision Agriculture Adoption in the United States and Brazil The United States has long been regarded as a global leader in agricultural technology and productivity. However, rapid advancements in other major producing countries are challenging this position. Brazil, in particular, has paired large-scale crop expansion with accelerated digital transformation, raising important questions about where the United States continues to lead and where it risks losing its competitive edge. Understanding how precision agriculture technologies are being adopted and... J. Colussi, B. Erickson, T. Malone, M. Langemeier, C. Fiechter Download paper
5. Management Zone Delineation for Subsoiling Using Apparent Electrical Conductivity, Elevation, and Soil Moisture Soil compaction is a primary physical factor limiting agricultural crop development. It mechanically impedes root growth, alters soil water dynamics, and consequently affects plant nutrient uptake. In agricultural systems under mechanization or animal trampling, compacted layers are spatially heterogeneous. This necessitates spatial analysis approaches for more precise management decisions, as average values often prove inadequate for site-specific problem resolution. Consequently,... T. Oliveira , G. Ramos Da Silva, E.A. Souza, R.M. Oliveira, B.F. Souza, M.A. Faria Download paper
6. Development and Field Validation of SMART-C: A Geostatistics and PCA-Based Decision Framework for Site-Specific Cocoa Management in the Brazilian Amazon Cocoa production plays a major socioeconomic role in Pará State, Brazil’s largest producing region, with annual output exceeding 140 thousand tons. Although Brazil ranks among the world’s leading cocoa producers, most production systems are still managed using field-average approaches that disregard within-field spatial variability of soil attributes and crop performance. This limitation restricts input efficiency and long-term system sustainability in perennial tropical systems.This...

Filter results6 paper(s) found.

1. Automated Initial Plant Stand Assessment in Bean Crops Using Uav-based Yolov8 Detection

The use of RGB images acquired by unmanned aerial vehicles (UAVs), combined with artificial intelligence techniques, has increased significantly in recent years for object identification and crop monitoring in agriculture. These technologies enable rapid plant stand count, facilitating decision-making processes. However, limited information is available regarding the optimal flight height for identifying bean plants at early growth stages. Therefore, the objective of this study was to evaluate... G. Valdes Fernandez , G. Lacerda Da Silveira, R. Fernandes Queiroz Alves , T. Costa Barboza, M.C. Arnosti, A. Felipe Dos Santos, W.B. Da Silva, O. Pereira Da Costa

Download paper

2. Silage Corn Production Under Different Management Strategies: Conventional and 4.0

Agriculture 4.0 has emerged as a strategic tool to maximize operational efficiency and environmental sustainability in agricultural production. The integration of telemetry, automation, and spatial data analysis facilitates more precise management, reducing input waste and enhancing production predictability relative to traditional methods. In this context, the objective of this study was to evaluate the impact of adopting Agriculture 4.0 technologies on the agronomic performance and productive... F. Aguiar Jordão, D.J. Santos, G.D. Dalevedo, L.A. Gaion, I.M. Pascoaloto, E. Fernandes, J. , T.F. Lemos

Download paper

3. Agronomic and Economic Performance of Early Maize and Weed Management Under Agriculture 4.0 versus Conventional Systems

Agriculture 4.0 stands as a crucial strategy to optimize operational efficiency and environmental sustainability in maize cultivation, enabling rationalized input use through automation and data management. However, limited comparative data exist regarding its agronomic efficacy against conventional practices under tropical conditions. Thus, this study aimed to compare vegetative development and weed infestation in conventional and Agriculture 4.0 cropping systems. The experiment was conducted... P. Colleta De Abreu Moral, L.A. Gaion, C.C. Gaspareto Filho, I.M. Pascoaloto, E. Fernandes, J. , T.F. De Lemos

Download paper

4. Benchmarking Precision Agriculture Adoption in the United States and Brazil

The United States has long been regarded as a global leader in agricultural technology and productivity. However, rapid advancements in other major producing countries are challenging this position. Brazil, in particular, has paired large-scale crop expansion with accelerated digital transformation, raising important questions about where the United States continues to lead and where it risks losing its competitive edge. Understanding how precision agriculture technologies are being adopted and... J. Colussi, B. Erickson, T. Malone, M. Langemeier, C. Fiechter

Download paper

5. Management Zone Delineation for Subsoiling Using Apparent Electrical Conductivity, Elevation, and Soil Moisture

Soil compaction is a primary physical factor limiting agricultural crop development. It mechanically impedes root growth, alters soil water dynamics, and consequently affects plant nutrient uptake. In agricultural systems under mechanization or animal trampling, compacted layers are spatially heterogeneous. This necessitates spatial analysis approaches for more precise management decisions, as average values often prove inadequate for site-specific problem resolution. Consequently,... T. Oliveira , G. Ramos Da Silva, E.A. Souza, R.M. Oliveira, B.F. Souza, M.A. Faria

Download paper

6. Development and Field Validation of SMART-C: A Geostatistics and PCA-Based Decision Framework for Site-Specific Cocoa Management in the Brazilian Amazon

Cocoa production plays a major socioeconomic role in Pará State, Brazil’s largest producing region, with annual output exceeding 140 thousand tons. Although Brazil ranks among the world’s leading cocoa producers, most production systems are still managed using field-average approaches that disregard within-field spatial variability of soil attributes and crop performance. This limitation restricts input efficiency and long-term system sustainability in perennial tropical systems.This...