Search Results - "Furlanetto, Renato Herrig"

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    High resolution leaf spectral signature as a tool for foliar pigment estimation displaying potential for species differentiation by Falcioni, Renan, Moriwaki, Thaise, Pattaro, Mariana, Herrig Furlanetto, Renato, Nanni, Marcos Rafael, Camargos Antunes, Werner

    Published in Journal of plant physiology (01-06-2020)
    “…•Monocotyledon and Dicotyledon plants presenting pigment content variations were assessed.•High resolution optical leaf signature and anatomical data were…”
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    Journal Article
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    Identification and classification of Asian soybean rust using leaf-based hyperspectral reflectance by Furlanetto, Renato Herrig, Nanni, Marcos Rafael, Mizuno, Monica Sayuri, Crusiol, Luís Guilherme Teixeira, da Silva, Camila Rocco

    Published in International journal of remote sensing (03-06-2021)
    “…Asian soybean rust (Phakopsora pachyrhizi) is the most severe disease in soybean crops production. The early detection of the disease by traditional methods…”
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    Journal Article
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    Hyperspectral Data for Early Identification and Classification of Potassium Deficiency in Soybean Plants (Glycine max (L.) Merrill) by Furlanetto, Renato Herrig, Crusiol, Luís Guilherme Teixeira, Nanni, Marcos Rafael, de Oliveira Junior, Adilson, Sibaldelli, Rubson Natal Ribeiro

    Published in Remote sensing (Basel, Switzerland) (01-06-2024)
    “…Identifying potassium (K+) deficiency in plants has traditionally been a difficult and expensive process. Traditional methods involve inspecting leaves for…”
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    Journal Article
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    Simple, Fast and Efficient Methods for Analysing the Structural, Ultrastructural and Cellular Components of the Cell Wall by Falcioni, Renan, Moriwaki, Thaise, Furlanetto, Renato Herrig, Nanni, Marcos Rafael, Antunes, Werner Camargos

    Published in Plants (Basel) (05-04-2022)
    “…Plant cell walls are a fundamental component of plant biology and play an essential role in plant growth and development. The metabolic components of the cell…”
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    Journal Article
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    A mobile application to identify poison ivy (Toxicodendron radicans) plants in real time using convolutional neural network by Furlanetto, Renato Herrig, Schumann, Arnold, Boyd, Nathan

    Published in Multimedia tools and applications (05-01-2024)
    “…Poison ivy ( Toxicodendron radicans ) is an important noxious plants in many countries around the world. Currently, the primary method used to identify this…”
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    Journal Article
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    Mapeamento de áreas agrícolas na safra de verão a partir de imagens Landsat frente aos dados oficiais by Crusiol, Luís Guilherme Teixeira, Pereira Neto, Osvaldo Coelho, Nanni, Marcos Rafael, Gualberto, Anderson Antonio Da Silva, Furlanetto, Renato Herrig, Junior, Carlos Antonio Da Silva

    Published in Agro@mbiente on-line (05-01-2017)
    “…O mapeamento das áreas agrícolas de uma determinada região é de fundamental importância, uma vez que se pode conhecer as condições das lavouras e inferir sobre…”
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    Journal Article