Proceedings :: International Society of Precision Agriculture

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DE SOUZA Santos, R

Druyan, S

Darghan Contreras, A.E

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Authors

Heller, Y

Druyan, S

Godo, A

Bloch, V

DE SOUZA Santos, R

Silva e Silva, C

Cornejo Noronha, N

Tanajura Caldeira, C

Soares Cardoso,

de Pinho Alvarez, W

Rayo Álvarez, D

Murillo Sandoval, P.J

Darghan Contreras, A.E

Conejo Rodriguez, D.F

Topics

Precision Dairy, Livestock, and Animal Welfare Monitoring

Remote and Proximal Sensing of Soils and Crops

Predictive Modeling, Phenotyping, and Digital Tools for Decision Support

Type

Poster

Year

2026

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Filter results3 paper(s) found.
1. Detection of Aggressive Group Behavior of Laying Hens in Free Henhouses Harmful social behaviors among laying hens, such as feather pecking and aggressive chasing, pose a significant challenge to animal welfare and productivity in cage-free poultry systems. While cage-free housing allows hens to express natural behaviors, it also increases the risk of injurious interactions that can lead to stress, injury, and economic losses. Existing mitigation strategies, including environmental enrichment and housing design improvements, reduce but do not eliminate harmful behavior,... Y. Heller, S. Druyan, A. Godo, V. Bloch Download paper
2. Precision Agriculture in Cocoa Production: Evaluating RGB-Derived GNDVI as a Low-Cost Multispectral Proxy in the Brazilian Amazon Cocoa production in the Xingu region of Pará, Brazil, represents the country’s main production hub, accounting for more than 76% of the state’s total output. Despite its economic importance, cocoa management remains largely traditional, with limited adoption of Precision Agriculture (PA) technologies due to the high cost of multispectral sensors and restricted technological access among growers.This study evaluated the seasonal compatibility between mean visible-spectrum reflectance... R.D. Santos, C. Silva E Silva, N. Cornejo Noronha, C. Tanajura Caldeira, . Soares Cardoso, W. De Pinho Alvarez
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

Filter results3 paper(s) found.

1. Detection of Aggressive Group Behavior of Laying Hens in Free Henhouses

Harmful social behaviors among laying hens, such as feather pecking and aggressive chasing, pose a significant challenge to animal welfare and productivity in cage-free poultry systems. While cage-free housing allows hens to express natural behaviors, it also increases the risk of injurious interactions that can lead to stress, injury, and economic losses. Existing mitigation strategies, including environmental enrichment and housing design improvements, reduce but do not eliminate harmful behavior,... Y. Heller, S. Druyan, A. Godo, V. Bloch

Download paper

2. Precision Agriculture in Cocoa Production: Evaluating RGB-Derived GNDVI as a Low-Cost Multispectral Proxy in the Brazilian Amazon

Cocoa production in the Xingu region of Pará, Brazil, represents the country’s main production hub, accounting for more than 76% of the state’s total output. Despite its economic importance, cocoa management remains largely traditional, with limited adoption of Precision Agriculture (PA) technologies due to the high cost of multispectral sensors and restricted technological access among growers.This study evaluated the seasonal compatibility between mean visible-spectrum reflectance... R.D. Santos, C. Silva E Silva, N. Cornejo Noronha, C. Tanajura Caldeira, . Soares Cardoso, W. De Pinho Alvarez

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