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  • MPI Ethno. Forsch.  (4)
  • HU Berlin
  • 2020-2024  (4)
  • Fuentes, Sigfredo  (4)
  • Basel : MDPI - Multidisciplinary Digital Publishing Institute  (4)
  • 1
    Online Resource
    Online Resource
    Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture (2023)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036566146 , 9783036566153
    Language: Undetermined
    Pages: 1 Online-Ressource (226 p.)
    Keywords: Medicine
    Abstract: When adopting remote sensing techniques in precision agriculture, there are two main areas to consider: data acquisition and data analysis methodologies. Imagery and remote sensor data collected using different platforms provide a variety of information volumes and formats. For example, recent research in precision agriculture has used multispectral images from different platforms, such as satellites, airborne, and, most recently, drones. These images have been used for various analyses, from the detection of pests and diseases, growth, and water status of crops to yield estimations. However, accurately detecting specific biotic or abiotic stresses requires a narrow range of spectral information to be analyzed for each application. In data analysis, the volume and complexity of data formats obtained using the latest technologies in remote sensing (e.g., a cube of data for hyperspectral imagery) demands complex data processing systems and data analysis using multiple inputs to estimate specific categorical or numerical targets. New and emerging methodologies within artificial intelligence, such as machine learning and deep learning, have enabled us to deal with these increasing data volumes and the analysis complexity
    Note: English
    URL: kostenfrei
    URL: kostenfrei
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036540801 , 9783036540795
    Language: Undetermined
    Pages: 1 Online-Ressource (114 p.)
    Keywords: Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture
    Abstract: In recent years, new and emerging digital technologies applied to food science have been gaining attention and increased interest from researchers and the food/beverage industries. In particular, those digital technologies that can be used throughout the food value chain are accurate, easy to implement, affordable, and user-friendly. Hence, this Special Issue (SI) is dedicated to novel technology based on sensor technology and machine/deep learning modeling strategies to implement artificial intelligence (AI) into food and beverage production and for consumer assessment. This SI published quality papers from researchers in Australia, New Zealand, the United States, Spain, and Mexico, including food and beverage products, such as grapes and wine, chocolate, honey, whiskey, avocado pulp, and a variety of other food products
    Note: English
    URL: kostenfrei
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Implementation of Sensors and Artificial Intelligence for Environmental Hazards Assessment in Urban, Agriculture and Forestry Systems (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036529059 , 9783036529042
    Language: English
    Pages: 1 Online-Ressource (206 p.)
    Keywords: History of engineering & technology
    Abstract: The implementation of artificial intelligence (AI), together with robotics, sensors, sensor networks, Internet of Things (IoT), and machine/deep learning modeling, has reached the forefront of research activities, moving towards the goal of increasing the efficiency in a multitude of applications and purposes related to environmental sciences. The development and deployment of AI tools requires specific considerations, approaches, and methodologies for their effective and accurate applications. This Special Issue focused on the applications of AI to environmental systems related to hazard assessment in urban, agriculture, and forestry areas
    Note: English
    URL: kostenfrei
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    Implementation of Digital Technologies on Beverage Fermentation (2022)
    Basel : MDPI - Multidisciplinary Digital Publishing Institute
    Details
    ISBN: 9783036536552 , 9783036536569
    Language: Undetermined
    Pages: 1 Online-Ressource (220 p.)
    Keywords: Research & information: general ; Biology, life sciences ; Technology, engineering, agriculture
    Abstract: In the food and beverage industries, implementing novel methods using digital technologies such as artificial intelligence (AI), sensors, robotics, computer vision, machine learning (ML), and sensory analysis using augmented reality (AR) has become critical to maintaining and increasing the products' quality traits and international competitiveness, especially within the past five years. Fermented beverages have been one of the most researched industries to implement these technologies to assess product composition and improve production processes and product quality. This Special Issue (SI) is focused on the latest research on the application of digital technologies on beverage fermentation monitoring and the improvement of processing performance, product quality and sensory acceptability
    Note: English
    URL: kostenfrei
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    Online Resource
    MPI Ethno. Forsch.
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