Proceedings :: International Society of Precision Agriculture

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Lima Leal, G

Lopes, W.C

Lima, C.D

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Authors

Lima, C.D

Nogueira, B

, A

Junior, D.U

Carvalho, I.R

Bredemeier, C

Nogueira, B

Figueiró, A.C

, A

Bender, E

Lima, C.D

Vian, A.L

Bredemeier, C

Santos, A.L

Linhares, A.A

Barbosa , P.C

Lopes, W.C

Reis, M.D

Rocha, K.D

de Oliveira, D.G

Rodrigues, M.S

Costa, D.D

Baudini, F

Vian, A.L

Wrubleski, M

, T

Lima Leal, G

Topics

Remote and Proximal Sensing of Soils and Crops

UAV-Based Scouting, Imaging, and Targeted Applications

Education, Training, and Extension for Precision Agriculture

Type

Poster

Oral

Year

2026

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Filter results4 paper(s) found.
1. Analysis of Mixed Models in UAV-based Spectral Vegetation Indices for Prediction of Agronomic Variables in Soybean Subjected to Flooding The identification of soybean genotypes with increased flooding tolerance is relevant for yield stability in lowlands producing areas. In this context, the use of relevant spectral vegetation indices based on multispectral sensors embedded in unmanned aerial vehicles (UAVs) for the selection of more flooding-tolerant soybean genotypes is a primary demand within plant phenomics. Nonetheless, the environmental effects can change the accuracy of spectral indices and the correct methodology for deduction... C.D. Lima, B. Nogueira, A. , D.U. Junior, I.R. Carvalho, C. Bredemeier
2. Estimation of Agronomic Parameters in Maize Using UAV-based Vegetation Indices Obtained by a Multispectral Sensor Precision agriculture emerges as a response to optimize input use and to monitor crop spatial variability over time. In this context, the use of vegetation indices obtained by optical sensors embedded in drones or satellites has become a useful tool for predicting agronomic parameters in maize fields, such as aboveground dry biomass, leaf chlorophyll content, and grain yield. Thus, the objective of this study was to correlate field agronomic parameters with vegetation indexes obtained by a multispectral... B. Nogueira, A.C. Figueiró, A. , E. Bender, C.D. Lima, A.L. Vian, C. Bredemeier
3. Development of Predictive Models for Determining Organic Carbon and Clay Content in Soils under Irrigated Fruit Production in the Brazilian Semi-Arid Region The agricultural sector plays a pivotal role in both greenhouse gas emissions and climate change mitigation through soil carbon sequestration. Total organic carbon (TOC) and soil texture - particularly clay content - are key indicators of this dynamic, as they influence organic matter stabilization, water retention, and soil structural quality. In semi-arid regions, where edaphoclimatic conditions and water scarcity constrain agricultural production, the integrated assessment of these attributes... A.L. Santos, A.A. Linhares, P.C. Barbosa , W.C. Lopes, M.D. Reis, K.D. Rocha, D.G. De Oliveira, M.S. Rodrigues, D.D. Costa Download paper
4. Agro Extensão: Extensão Rural Digital University extension plays a fundamental role in bridging the gap between academia and society, especially in the agricultural sector, where technical information can determine the success of an operation. A historical example of this relevance is Operation Tatu (1960), which was essential in transforming the agricultural model in Rio Grande do Sul, promoting the shift from rudimentary practices to a technological approach. This initiative became a landmark demonstration of the potential of university... F. Baudini, A.L. Vian, M. Wrubleski, T. , G. Lima Leal

Filter results4 paper(s) found.

1. Analysis of Mixed Models in UAV-based Spectral Vegetation Indices for Prediction of Agronomic Variables in Soybean Subjected to Flooding

The identification of soybean genotypes with increased flooding tolerance is relevant for yield stability in lowlands producing areas. In this context, the use of relevant spectral vegetation indices based on multispectral sensors embedded in unmanned aerial vehicles (UAVs) for the selection of more flooding-tolerant soybean genotypes is a primary demand within plant phenomics. Nonetheless, the environmental effects can change the accuracy of spectral indices and the correct methodology for deduction... C.D. Lima, B. Nogueira, A. , D.U. Junior, I.R. Carvalho, C. Bredemeier

2. Estimation of Agronomic Parameters in Maize Using UAV-based Vegetation Indices Obtained by a Multispectral Sensor

Precision agriculture emerges as a response to optimize input use and to monitor crop spatial variability over time. In this context, the use of vegetation indices obtained by optical sensors embedded in drones or satellites has become a useful tool for predicting agronomic parameters in maize fields, such as aboveground dry biomass, leaf chlorophyll content, and grain yield. Thus, the objective of this study was to correlate field agronomic parameters with vegetation indexes obtained by a multispectral... B. Nogueira, A.C. Figueiró, A. , E. Bender, C.D. Lima, A.L. Vian, C. Bredemeier

3. Development of Predictive Models for Determining Organic Carbon and Clay Content in Soils under Irrigated Fruit Production in the Brazilian Semi-Arid Region

The agricultural sector plays a pivotal role in both greenhouse gas emissions and climate change mitigation through soil carbon sequestration. Total organic carbon (TOC) and soil texture - particularly clay content - are key indicators of this dynamic, as they influence organic matter stabilization, water retention, and soil structural quality. In semi-arid regions, where edaphoclimatic conditions and water scarcity constrain agricultural production, the integrated assessment of these attributes... A.L. Santos, A.A. Linhares, P.C. Barbosa , W.C. Lopes, M.D. Reis, K.D. Rocha, D.G. De Oliveira, M.S. Rodrigues, D.D. Costa

Download paper

4. Agro Extensão: Extensão Rural Digital

University extension plays a fundamental role in bridging the gap between academia and society, especially in the agricultural sector, where technical information can determine the success of an operation. A historical example of this relevance is Operation Tatu (1960), which was essential in transforming the agricultural model in Rio Grande do Sul, promoting the shift from rudimentary practices to a technological approach. This initiative became a landmark demonstration of the potential of university... F. Baudini, A.L. Vian, M. Wrubleski, T. , G. Lima Leal