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| Filter results4 paper(s) found. |
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1. Detection of Aggressive Group Behavior of Laying Hens in Free HenhousesHarmful 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 |
2. Precision Agriculture in Cocoa Production: Evaluating RGB-Derived GNDVI as a Low-Cost Multispectral Proxy in the Brazilian AmazonCocoa 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 LearningThis 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. Field-scale Prediction of Soil Organic Carbon Using Integrated Proximal Sensing and Terrain CovariatesThe knowledge of soil organic carbon (SOC) is essential for climate change mitigation strategies, soil security, and management within precision agriculture scenarios in agricultural areas. The use of approaches integrating spectral and magnetic sensor data with topographic covariates has shown promise for predicting SOC along the soil profile. In this context, the study aimed to develop predictive models of SOC content at depth through the integration of proximal sensing data and topographic... J. Moura Bueno, L.F. Rech, R.S. Diniz Dalmolin, L. De Paula Amaral, I. Buana, F. De Araujo Pedron |