Proceedings :: International Society of Precision Agriculture

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Weber, R.K

Pegoraro, V.C

Murillo Sandoval, P.J

Portugal, J.B

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Authors

Santos, C.S

Weber, R.K

Bernardi, A

Garcia, A.R

Guimarães, E.S

Tonato, F

Medeiros, S.R

Barioni Jr., W

Portugal, J.B

Alves, T.C

Cavalcante, W.P

Serão Filho, M

Gaioli Jr, C

Rayo Álvarez, D

Murillo Sandoval, P.J

Darghan Contreras, A.E

Conejo Rodriguez, D.F

Silveira Pavão, L

Müllich, A

Rolim Farias da Silva, E

Cavalcanti, R

Silveira de Farias, M

Maldaner, I

Sgarbossa, J

, L

Kern, L.G

Kaefer Seganfredo, G

da Silva, G.B

Pegoraro, V.C

Topics

Decision Support Systems, Cloud Platforms, and Open Data Solutions

Precision Dairy, Livestock, and Animal Welfare Monitoring

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

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

Type

Poster

Oral

Year

2026

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Authors

Filter results4 paper(s) found.
1. Predictive Analysis of Fertilizer Efficiency with Machine Learning Fertilizers play a key role in agribusiness, both as an essential input for agricultural productivity and as a strategic component in the commercial chain. They provide nutrients that are indispensable for soil correction and crop growth, such as nitrogen, phosphorus, and potassium, allowing the soil to maintain its capacity to sustain crops even after several harvests. It is estimated that about 50% of global food production depends on the use of fertilizers, and in Brazil, these inputs represent... C.S. Santos, R.K. Weber Download paper
2. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low-productivity... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr Download paper
3. Early Yield Estimation in Hass Avocado Using Ecophysiological Variables and Machine Learning This study evaluated the ability of machine learning models to estimate yield in mature Hass avocado trees (>5 years), using ecophysiological variables measured with MultispeQ v2.0 (RIDES 2.1 protocol) and electrical capacitance (1 Hz). The study was conducted at Pan de Azúcar farm (Villahermosa, Tolima, Colombia; 1,565 m a.s.l., Andisols) on 60 trees, with data collected across four phenological stages (fruit development, fruit maturation, leaf and shoot growth, and pre-flowering) and... D. Rayo Álvarez, P.J. Murillo Sandoval, A.E. Darghan Contreras, D.F. Conejo Rodriguez
4. Topographic Modeling Using Remotely Piloted Aircraft to Identify Areas with Water Erosion Potential and to Plan Sowing Lines Water erosion constitutes one of the main factors of agricultural soil degradation. In this context, knowledge of the topography of agricultural fields and the planning of sowing lines guided by geotechnologies emerges as a strategy to mitigate surface runoff and soil loss. This study aimed to perform the topographic modeling of an agricultural field and to analyze the effect of using different sowing line designs on the longitudinal slope of these lines. The study was conducted in an agricultural... L. Silveira Pavão, A. Müllich, E. Rolim Farias Da Silva, R. Cavalcanti, M. Silveira De Farias, I. , J. Sgarbossa, L.

Filter results4 paper(s) found.

1. Predictive Analysis of Fertilizer Efficiency with Machine Learning

Fertilizers play a key role in agribusiness, both as an essential input for agricultural productivity and as a strategic component in the commercial chain. They provide nutrients that are indispensable for soil correction and crop growth, such as nitrogen, phosphorus, and potassium, allowing the soil to maintain its capacity to sustain crops even after several harvests. It is estimated that about 50% of global food production depends on the use of fertilizers, and in Brazil, these inputs represent... C.S. Santos, R.K. Weber

Download paper

2. Digital Livestock Management Solution for Cattle Identification, Traceability, and Real-time Monitoring

Brazil is a global player in the beef industry with the world's largest commercial bovine herd, exceeding 230 million head, and leads the international market, accounting for approximately 25% of the global beef trade, reaching over 150 international markets. The combination of edaphoclimatic diversity, high-performance genetics, rigorous sanitary protocols, and the adoption of technological framework for tropical livestock accounts for decoupling of Brazilian ranching from extensive, low-productivity... A. Bernardi, A.R. Garcia, E.S. Guimarães, F. Tonato, S.R. Medeiros, W. Barioni Jr., J.B. Portugal, T.C. Alves, W.P. Cavalcante, M. Serão Filho, C. Gaioli Jr

Download paper

3. Early Yield Estimation in Hass Avocado Using Ecophysiological Variables and Machine Learning

This study evaluated the ability of machine learning models to estimate yield in mature Hass avocado trees (>5 years), using ecophysiological variables measured with MultispeQ v2.0 (RIDES 2.1 protocol) and electrical capacitance (1 Hz). The study was conducted at Pan de Azúcar farm (Villahermosa, Tolima, Colombia; 1,565 m a.s.l., Andisols) on 60 trees, with data collected across four phenological stages (fruit development, fruit maturation, leaf and shoot growth, and pre-flowering) and... D. Rayo Álvarez, P.J. Murillo Sandoval, A.E. Darghan Contreras, D.F. Conejo Rodriguez

4. Topographic Modeling Using Remotely Piloted Aircraft to Identify Areas with Water Erosion Potential and to Plan Sowing Lines

Water erosion constitutes one of the main factors of agricultural soil degradation. In this context, knowledge of the topography of agricultural fields and the planning of sowing lines guided by geotechnologies emerges as a strategy to mitigate surface runoff and soil loss. This study aimed to perform the topographic modeling of an agricultural field and to analyze the effect of using different sowing line designs on the longitudinal slope of these lines. The study was conducted in an agricultural... L. Silveira Pavão, A. Müllich, E. Rolim Farias Da Silva, R. Cavalcanti, M. Silveira De Farias, I. , J. Sgarbossa, L.