Resultados de búsqueda - Machine industry

  1. Free online trainings on soil health monitoring with satellite based remote sensors por Huq, Rafiq, Lesueur, Didier

    Publicado 2024
    “…The workshops were led by professionals from Spiral Blue Pty Ltd, an award-winning medium enterprise in the Australian space industry. Each session featured three one-hour lectures as outlined below: 1. « Earth Observation and Soil Health: Where Innovation Meets Practice » - Focus: The origins and development of Earth Observation (EO) technology, its applications innatural sciences and soil health monitoring, as well as its opportunities and limitations. 2. « Satellite-Based Remote Sensing: How Earth Observation Enhances Soil Health Monitoring » - Focus: Various remote sensing (RS) technologies, their application in soil data collection, and the role of RS data in monitoring soil health. 3. « From Data to Decisions: Translating Remote Sensing Insights into Practical Soil Health Solutions » - Focus: AI-based agricultural informatics, the use of machine learning in data analysis and automation, and the importance of baseline data for machine learning algorithms.…”
    Enlace del recurso
    Informe técnico
  2. Qualitative risk assessment on the transmission of HPAI (H5N1) virus from backyard and medium-scale commercial farms to household free-range poultry in Nigeria por Abdu, P.A., Costard, Solenne, Ahmed, G.M., Duarte, P., Métras, Raphaëlle

    Publicado 2010
    “…This industry provides an affordable source of protein to millions of Nigerians through poultry eggs and meat. …”
    Enlace del recurso
    Artículo preliminar
  3. Climate Adaptation Strategies for Maintaining Rice Grain Quality in Temperate Regions por Fernando, Yvonne, Ovenden, Ben, Sreenivasulu, Nese, Butardo, Vito Jr.

    Publicado 2025
    “…This review synthesizes current knowledge of climate-induced quality changes, with a focus on the Australian rice industry as a case study with comparisons to other temperate regions. …”
    Enlace del recurso
    Journal Article
  4. 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

    Publicado 2020
    “…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. …”
    Enlace del recurso
    Enlace del recurso
    Artículo
  5. Technological innovations in freeze drying: Enhancing efficiency, sustainability, and food quality por Al Faruq, Abdulla, Farahnaky, Asgar, Dokouhaki, Mina, Khatun, Husne Ara, Trujillo, Francisco J., Majzoobi, Mahsa

    Publicado 2025
    “…These innovations have important implications for scaling FD in industrial applications and advancing sustainable food processing systems.…”
    Enlace del recurso
    Journal Article
  6. 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

    Publicado 2024
    “…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.…”
    Enlace del recurso
    Enlace del recurso
    Artículo
  7. Selection of Optimal Wavelength Features for Decay Detection in Citrus Fruit Using the ROC Curve and Neural Networks por Lorente, Delia, Aleixos, Nuria, Gómez-Sanchís, Juan, Cubero, Sergio, Blasco, José

    Publicado 2017
    “…Early automatic detection of fungal infections in post-harvest citrus fruits is especially important for the citrus industry because only a few infected fruits can spread the infection to a whole batch during operations such as storage or exportation, thus causing great economic losses. …”
    Enlace del recurso
    Artículo
  8. AI-enabled UAV borne hyperspectral imaging for crop-livestock farm management por Sankararao, A.U.G., Rajalakshmi, P., Choudhary, Sunita, Kholova, Jana, Jones, Christopher S.

    Publicado 2025
    “…Artificial intelligence and machine learning (AI/ML) approaches can effectively analyze high-dimensional HSI data and extract meaningful insights. …”
    Enlace del recurso
    Capítulo de libro
  9. Utvärdering av ett lastredessystem för att effektivisera virkeslogistiken vid avlägg por Alm, Tobias

    Publicado 2016
    “…Today's conventional forestry looks for solutions to bring down handling time of the wood from the forest to the industry. For a timber truck is the handling time depended on the following factors: the actual driving time, crane loading and unloading at the industry. …”
    L3
  10. Skotares bränsleförbrukning por Nilsson, Robert

    Publicado 2007
    “…The test driving was made with a Hemek 750 which is a three geared hydrostatic machine and with a Hemek 700 which is a hydrodynamic machine with six gears. …”
    Enlace del recurso
    Otro
  11. Implementering av Rätt metod gallring och Rätt metod planering - en uppföljning i fält inför fortsatt utvecklingsarbete por Ekelund, Fredrik

    Publicado 2019
    “…Every ground damage has been graded as severe or non-severe using a, by Swedish forest industry, unified policy about ground damages in forests. …”
    M2
  12. AI-powered detection and quantification of Post-harvest Physiological Deterioration (PPD) in cassava using YOLO foundation models and K-means clustering por Gomez Ayalde, Daniela, Giraldo Londono, Juan Camilo, Quiroga Mosquera, Audberto, Luna-Melendez, Jorge Luis, Gimode, Winnie, Tran, Thierry, Zhang, Xiaofei, Selvaraj, Michael Gomez

    Publicado 2024
    “…Post-harvest physiological deterioration (PPD) poses a significant challenge to the cassava industry, leading to substantial economic losses. This study aims to address this issue by developing a comprehensive framework in collaboration with cassava breeders. …”
    Enlace del recurso
    Journal Article
  13. 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

    Publicado 2024
    “…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. …”
    Enlace del recurso
    Objeto de conferencia
  14. Small-scale cashew nut processing por Technical Centre for Agricultural and Rural Cooperation

    Publicado 1990
    “…A cashew nut decorticating machine which will save fuel and minimize the level of cashew nut shell liquid contamination has been developed by the Natural Resources Institute's (NRI) Industrial Development department It has undergone field trials in...…”
    Enlace del recurso
    News Item
  15. Yam-harvester that pays for itself por Technical Centre for Agricultural and Rural Cooperation

    Publicado 1989
    “…A root and tuber harvesting machine that reduces crop damage by up to 75% is now available. it was designed by Dr Colin Hudson, of Carib-Agro Industries in Barbados. …”
    Enlace del recurso
    News Item

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