Proceedings :: International Society of Precision Agriculture

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Rorato, A

Rodrigues, M.S

Rocha, K.D

Rolim, G

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Authors

Rodrigues , L

Luns, S

Rolim, G

Canata, T

Carreira, V

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

Topics

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Remote and Proximal Sensing of Soils and Crops

Type

Poster

Oral

Year

2026

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Filter results2 paper(s) found.
1. Use of Textural and Spectral Data in Predictive Modeling of Sugarcane Yield Sugarcane is one of the most important crops in Brazil, playing a strategic role in the production of sugar, ethanol, and bioenergy. Efficient monitoring of crop yield is essential for agricultural management and decision-making; however, conventional yield estimation methods are generally labor-intensive, destructive, and inefficient in capturing spatial variability within fields. In this context, the use of remote sensing techniques integrated with machine learning models emerges as a promising... L. Rodrigues , S. Luns, G. Rolim, T. Canata, V. Carreira
2. 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

Filter results2 paper(s) found.

1. Use of Textural and Spectral Data in Predictive Modeling of Sugarcane Yield

Sugarcane is one of the most important crops in Brazil, playing a strategic role in the production of sugar, ethanol, and bioenergy. Efficient monitoring of crop yield is essential for agricultural management and decision-making; however, conventional yield estimation methods are generally labor-intensive, destructive, and inefficient in capturing spatial variability within fields. In this context, the use of remote sensing techniques integrated with machine learning models emerges as a promising... L. Rodrigues , S. Luns, G. Rolim, T. Canata, V. Carreira

2. 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

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