Proceedings :: International Society of Precision Agriculture

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Freitas, R

Farinati Leite, E

Ferraz, V

Faucon, M

Favarin, J.L

Franco, G.M

Franchi, M

Fonseca, A

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Authors

Luiz Panini, R

Tamara, A.R

Franco, G.M

de Oliveira, V.C

Lemos, H.R

Nishikawa, M

Forti, P.R

Biagi, M

Dudek, L.F

Hauschild, M.C

Ruscito, G.N

da Silva, M.P

Claro, E

de Souza, Z.M

Veiga, A

De Araujo, H

Tetard, L

Faucon, M

Ugarte, C

Gabriel, D

Fiegenbaum, A.S

Griebeler, S.R

Franchi, M

dos Santos, N.S

Rocha, K.F

Vian, A.L

de S. Ludovico Almeida, N

Costa, B.S

Favarin, J.L

Molin, J.P

Topics

Agricultural Robotics, Automation, and Mechanization

Site-Specific Nutrient, Lime and Seed Management

Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture

Type

Oral

Poster

Year

2026

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Filter results4 paper(s) found.
1. Field-Based Evaluation of Targeted Herbicide Spraying Efficacy: A Comparison of Qualitative and Quantitative Approaches Weed control remains one of the main challenges for maintaining agricultural productivity. In this context, selective spraying based on optical sensors and embedded vision systems emerges as a promising alternative for localized weed management, aligned with the principles of precision agriculture and sustainability. However, the adoption of these technologies on a commercial scale demands robust methods to evaluate agronomic efficacy and operational performance under real field conditions. This... R. Luiz Panini, A.R. Tamara, G.M. Franco, V.C. De Oliveira, H.R. Lemos, M. Nishikawa, P.R. Forti, M. Biagi, L.F. Dudek, M.C. Hauschild, G.N. Ruscito, M.P. Da Silva, E. Claro, Z.M. De Souza Download paper
2. Impact of Soil Heterogeneity and Precision Air Seed Drill Settings on Maize Emergence Uniformity: Toward Sensor-based Predictive Models Soil spatial heterogeneity at the intra-field scale strongly constrains crop establishment. This heterogeneity in soil texture, strength, and moisture often leads to uneven seed-soil contact and inconsistent emergence, reducing yield potential. Extreme climatic conditions, such as soil saturation or drought, amplify these challenges and further compromise uniform crop emergence. Although this issue is widely acknowledged, accounting for soil heterogeneity remains poorly integrated in... A. Veiga, H. De Araujo, L. Tetard, M. Faucon, C. Ugarte Download paper
3. Herbicide Savings and Weed Control Performance Using Green-on-Green Spot Spraying in Soybean The conventional approach to weed control in large-scale soybean production relies on full-area herbicide spraying, resulting in high chemical input and operational costs. In this context, artificial intelligence-based spot spraying has emerged as a promising alternative to increase efficiency and reduce environmental impact. This study evaluated the performance of a green-on-green spot spraying system based on deep learning algorithms, CORTEX AI (Soybean Model v08), for post-emergence weed control... D. Gabriel, A.S. Fiegenbaum, S.R. Griebeler, M. Franchi, N.S. Dos Santos, K.F. Rocha, A.L. Vian
4. Evaluation of Variable and Uniform Rate Prescriptions of Potassium Fertilizing for Small Plots in Family-run Coffee Farms Brazil plays a central role in the global coffee supply as one of the primary providers for strategic international markets. As extreme weather threats, prolonged droughts, and international agricultural commodity price volatility increase, enhancing economic efficiency in input use has become fundamental for the sustainability and resilience of coffee production systems. Thus, efficiency in the use of agricultural inputs transcends economic concerns, becoming part of the broader discussion on... N. De S. Ludovico Almeida, B.S. Costa, J.L. Favarin, J.P. Molin Download paper

Filter results4 paper(s) found.

1. Field-Based Evaluation of Targeted Herbicide Spraying Efficacy: A Comparison of Qualitative and Quantitative Approaches

Weed control remains one of the main challenges for maintaining agricultural productivity. In this context, selective spraying based on optical sensors and embedded vision systems emerges as a promising alternative for localized weed management, aligned with the principles of precision agriculture and sustainability. However, the adoption of these technologies on a commercial scale demands robust methods to evaluate agronomic efficacy and operational performance under real field conditions. This... R. Luiz Panini, A.R. Tamara, G.M. Franco, V.C. De Oliveira, H.R. Lemos, M. Nishikawa, P.R. Forti, M. Biagi, L.F. Dudek, M.C. Hauschild, G.N. Ruscito, M.P. Da Silva, E. Claro, Z.M. De Souza

Download paper

2. Impact of Soil Heterogeneity and Precision Air Seed Drill Settings on Maize Emergence Uniformity: Toward Sensor-based Predictive Models

Soil spatial heterogeneity at the intra-field scale strongly constrains crop establishment. This heterogeneity in soil texture, strength, and moisture often leads to uneven seed-soil contact and inconsistent emergence, reducing yield potential. Extreme climatic conditions, such as soil saturation or drought, amplify these challenges and further compromise uniform crop emergence. Although this issue is widely acknowledged, accounting for soil heterogeneity remains poorly integrated in... A. Veiga, H. De Araujo, L. Tetard, M. Faucon, C. Ugarte

Download paper

3. Herbicide Savings and Weed Control Performance Using Green-on-Green Spot Spraying in Soybean

The conventional approach to weed control in large-scale soybean production relies on full-area herbicide spraying, resulting in high chemical input and operational costs. In this context, artificial intelligence-based spot spraying has emerged as a promising alternative to increase efficiency and reduce environmental impact. This study evaluated the performance of a green-on-green spot spraying system based on deep learning algorithms, CORTEX AI (Soybean Model v08), for post-emergence weed control... D. Gabriel, A.S. Fiegenbaum, S.R. Griebeler, M. Franchi, N.S. Dos Santos, K.F. Rocha, A.L. Vian

4. Evaluation of Variable and Uniform Rate Prescriptions of Potassium Fertilizing for Small Plots in Family-run Coffee Farms

Brazil plays a central role in the global coffee supply as one of the primary providers for strategic international markets. As extreme weather threats, prolonged droughts, and international agricultural commodity price volatility increase, enhancing economic efficiency in input use has become fundamental for the sustainability and resilience of coffee production systems. Thus, efficiency in the use of agricultural inputs transcends economic concerns, becoming part of the broader discussion on... N. De S. Ludovico Almeida, B.S. Costa, J.L. Favarin, J.P. Molin

Download paper