Proceedings
Authors
| Filter results3 paper(s) found. |
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1. A Dual-Arm Machine-Vision-Guided Robotic System for High-Throughput Tissue Sampling in Potato TubersHigh-throughput molecular pathogen detection in potato tubers requires tissue sampling methods that are both sensitive and specific. A critical step in this workflow is the manual extraction of tissue cores, which is labor-intensive and time-consuming, limiting scalability for large-scale diagnostics. To address this challenge, this study developed a machine-vision-guided, dual-arm coordinated inline robotic system that integrates tuber picking, rotation, and tissue sampling mechanisms. In this... D. Loganathan Girija, S. Usama Bin Sabir, D. Rathore, L.R. Khot, C. Mattupalli, M. Karkee |
2. Determinants of the Intensity of Digital Precision Technology Adoption in Brazilian FeedlotsPrecision livestock farming has gained prominence as a tool to enhance managerial control and reduce risk in intensive production systems. In the case of Brazilian beef cattle feedlots, characterized by high price volatility, tight margins, and increasing pressure for environmental performance, the adoption of digital technologies represents a relevant strategy to improve decision-making processes. Unlike studies that focus solely on binary adoption (adopt/non-adopt), understanding adoption intensity... G. , M.J. Carrer, M. , L.C. David, H.M. Souza Filho, E. Bonjour |
3. Digital Transformation and Efficiency Gains in Intensive Livestock Systems: Evidence from Brazilian FeedlotsPrecision livestock farming has emerged as central strategies to enhance productive efficiency, reduce waste, and improve the sustainability of agricultural systems. In beef cattle feedlots, digital technologies such feeding automation sensors is particularly relevant. The technology reduces feed waste, improves the planning of input purchases and cost control, and reduces the need for manual labor for weighing and distributing feed, allowing the team to focus on strategic activities. In the Brazilian... L.C. David, M.J. Carrer, M. , H.M. Souza Filho |