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    Home > Food News > Food Articles > Chile to use hyperspectral imagery to predict cherries production

    Chile to use hyperspectral imagery to predict cherries production

    • Last Update: 2022-08-16
    • Source: Internet
    • Author: User
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    The University of O'Higgins (UOH) in Chile recently held a seminar to discuss the launch of the project "Technology Transfer and Adoption of Risk Management
    in Cherry Production: Helping O'Higgins Achieve Precision Agriculture.
     
    Chile's ADN radio reported on July 26 that the project was led by UOH and supported by the Chilean Center for Advanced Studies in Fruit Cultivation (CEA.
    CEAF Agronomic Investigator Michelle Morales said: “This project is related to predicting cherries yields with the help of hyperspectral imagery obtained in the fie.
    This will allow farmers to make technological decisions about fruit yiel.
    make predictions and make other decisions based on the information obtain.
     
    In addition, Morales said: “This technology does not require an Internet connection, allowing us to predict the yield of field crops in remote areas, so as to ensure that producers can make the best decisio.
    We hope that every grower access to this technolo.
     
    Leonor Dias, Director of the Industrial Development Agency of the O'Higgins Region Governmentnor Díaz) said: "This project allows us to integrate innovation, development and technology into the production of cherries promoted by the regional governme.
    "
     
    Paula Irles, Deputy Director of UOH Graduate Studies and Liaison, said: "We are delighted to advance this regional, interdisciplinary study that will allow us to help address yield forecasting issues of concern to cherries growe.

    "
    Workshop on Risk Management
     
    Chile's ADN radio reported on July 26 that the project was led by UOH and supported by the Chilean Center for Advanced Studies in Fruit Cultivation (CEA.
    CEAF Agronomic Investigator Michelle Morales said: “This project is related to predicting cherries yields with the help of hyperspectral imagery obtained in the fie.
    This will allow farmers to make technological decisions about fruit yiel.
    make predictions and make other decisions based on the information obtain.
     
    In addition, Morales said: “This technology does not require an Internet connection, allowing us to predict the yield of field crops in remote areas, so as to ensure that producers can make the best decisio.
    We hope that every grower access to this technolo.

     
    Leonor Dias, Director of the Industrial Development Agency of the O'Higgins Region Governmentnor Díaz) said: "This project allows us to integrate innovation, development and technology into the production of cherries promoted by the regional governme.

    "
     
    Paula Irles, Deputy Director of UOH Graduate Studies and Liaison, said: "We are delighted to advance this regional, interdisciplinary study that will allow us to help address yield forecasting issues of concern to cherries growe.

    "
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