Resultados de búsqueda - Machine-tool industry.

Precision enzyme discovery through targeted mining of metagenomic data por Ariaeenejad, Shohreh, Gharechahi, Javad, Foroozandeh Shahraki, Mehdi, Fallah Atanaki, Fereshteh, Han Jianlin, Ding, Xue-Zhi, Hildebrand, Falk, Bahram, Mohammad, Kavousi, Kaveh, Hosseini Salekdeh, Ghasem

“…Metagenomics has opened new avenues for exploring the genetic potential of uncultured microorganisms, which may serve as promising sources of enzymes and natural products for industrial applications. Identifying enzymes with improved catalytic properties from the vast amount of available metagenomic data poses a significant challenge that demands the development of novel computational and functional screening tools. …”
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Comparative analysis of rice grain quality and climate change impacts in temperate production zones from an Australian rice industry perspective por Fernando, Yvonne, Ovenden, Ben, Sreenivasulu, Nese, Butardo, Vito

“…Different rice classes display distinct vulnerabilities that impact market value in the trade: medium-grain japonica varieties show reduced amylose content under heat stress, aromatic varieties experience altered aroma compound synthesis under drought, and long-grain types show compromised kernel integrity under com-bined stress with reduced head rice yield and increase of percent chalk. Emerging phenotyping tools, including hyperspectral imaging and machine learning, offer promising approaches for monitoring impacts and speeding adaptation. …”
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Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest - A review por Cubero, Sergio, Lee, Won Suk, Aleixos, Nuria, Albert, Francisco, Blasco, José

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Automated Systems Based on Machine Vision for Inspecting Citrus Fruits from the Field to Postharvest—a Review por Cubero, Sergio, Lee, Won Suk, Aleixos, Nuria, Albert, Francisco, Blasco, José

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A protocol for measuring disease resistance to Cassava Bacterial Blight, using machine-learning image analysis por Pardo, Juan Manuel, Jiménez Polo, Jenyfer, Rodríguez, Rafael, Leiva Sandoval, Ana Maria, Cuéllar, Wilmer Jose

“…To support breeding for resistance programs, we standardized a screen house protocol for the reliable, simple, space- and time-efficient and high throughput tool based on machine learning image analysis using the PhenotyperCV software. …”
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Implementering av Rätt metod gallring och Rätt metod planering - en uppföljning i fält inför fortsatt utvecklingsarbete por Ekelund, Fredrik

“…In this study 93 % of the ground damages, severe and non-severe, can be related to internal rather than external factors i. e. choices and decisions made by the forestry-planners and the machine-operators. A vast majority of the ground damages can be found inside, or in the imminent near of the ground moisture map, showing it is a good tool for planning and executing a logging. …”

Assessment of the Ripening of Olives Using Computer Vision por Benalia, Souraya, Bernardi, Bruno, Blasco, José, Fazari, Antonio, Zimbalatti, Giuseppe

“…Computer vision systems (CVS) employed in automated processes for olive sorting and/or quality inspection constitute a promising tool that allow these industries to respond to the global market requirements. …”
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Analysing costs for bio-based materials in agriculture : an application of activity based costing on crop coverage por Johansson, Emma

“…Delivery material, stock-keeping, setup machine, placing, and maintenance service were identified as principal activities existing in the phases. …”

Analysing costs for bio-based materials in agriculture : an application of activity based costing on crop coverage por Johansson, Emma

“…Delivery material, stock-keeping, setup machine, placing, and maintenance service were identified as principal activities existing in the phases. …”

Implementing artificial intelligence to measure meat quality parameters in local market traceability processes por Alvarez García, Wuesley Yusmein, Mendoza, Laura, Muñoz Vílchez, Yudith Yohany, Casanova Núñez Melgar, David, Quilcate Pairazaman, Carlos

“…Also crucial is the development of autonomous robotic systems for the automation of inspection processes, the implementation of real-time monitoring systems for traceability and food safety, and the creation of intuitive interfaces for human-machine interaction. In addition, the automation of sensory analysis and the optimisation of sustainability and energy efficiency are key areas that require immediate attention to address the current challenges in this agri-food and agri-industrial sector, highlighting and emphasising the importance of ongoing innovation in the field.…”
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Climate Adaptation Strategies for Maintaining Rice Grain Quality in Temperate Regions por Fernando, Yvonne, Ovenden, Ben, Sreenivasulu, Nese, Butardo, Vito Jr.

“…Priorities include breeding for stress-resilient quality traits, refining water management, and deploying advanced phenotyping tools. Emerging technologies like hyperspectral imaging and machine learning offer promise for rapid quality assessment and adaptive management. …”
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Determinación de la madurez de mazorcas de Cacao, haciendo uso de redes neuronales convolucionales en un sistema embebido por Heredia Gómez, Juan F., Rueda Gómez, Juan P., Talero Sarmiento, Leonardo H., Ramírez Acuña, Juan S., Coronado Silva, Roberto Antonio

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Application of 2D and 3D image technologies to characterise morphological attributes of grapevine clusters por Tello-Moro, Javier, Cubero, Sergio, Blasco, José, Tardáguila, Javier, Aleixos, Nuria, Ibanez, Javier

“…It is routinely evaluated by subjective and inaccurate methods that do not meet the requirements set by the food industry. Novel two‐dimensional (2D) and three‐dimensional (3D) machine vision technologies emerge as promising tools for its automatic and fast evaluation. …”
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Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production por Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

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Tecnologías emergentes para el agro y su aplicación en Colombia por Ovalle Másmela, Juan Camilo, Romero Perdomo, Felipe Andrés, Uribe Galvis, Claudia Patricia

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Uso de imagen hiperespectral para la discriminación en postcosecha de variedades similares de níspero por Castillo-Gironés, Salvador, Cubero, Sergio, López-Chulia, Marina, Munera, Sandra, Rodríguez, Alejandro, Martínez-Onandi, Nerea, Aleixos, Nuria, Blasco, José

“…Food fraud is a serious concern for the food industry and consumers. A common fraud is mixing fruit cultivars with similar appearance but significant differences in quality and sensory characteristics, and, hence, different prices. …”
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Kartläggning av klimatarbete och klimatkrav i elnätsbranschen por Blomberg, Marcus

“…Appropriate areas identified is climate impact from materials, circular use of construction machines and materials, waste management and resource efficacy management strategy. …”

Solar Dryers: Technical Insights and Bibliometric Trends in Energy Technologies por Villagran, Edwin, Espitia, John Javier, Velázquez, Fabián Andrés, Rodriguez, Jader

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Unlocking the power of AI for phenotyping fruit morphology in Arabidopsis por Atkins, Kieran, Garzón Martínez, Gina A., Lloyd, Andrew, Doonan, John H., Chuan, Lu

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Focos de ciencia, tecnología e innovación para el sector agropecuario colombiano por Ovalle Másmela, Juan Camilo, Romero Perdomo, Felipe, Uribe Galvis, Claudia Patricia, Jiménez Guzmán, Ana María, Molano Bernal, Lilia Constanza, Santana Medina, Jairo Javier, Zambrano Muñoz, Adriana Del Pilar, Moreno Valderrama, María Nancy, Yepes Vargas, Luz Andrea, Perdomo Villamil, Yehismi Lorena, García González, Diana Maritza, Rincón Novoa, Rubiela, Ramírez Beltrán, Angélica María, Garavito Arcos, Heydi Carolina

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