Search Results - "The Band"

  1. El pasto llorón en la Cuenca del Salado by Ezquiaga, Juan Pedro, Otondo, Jose

    Published 2025
    Subjects: “…Band Placement…”
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    Capítulo de libro
  2. Virosis en zapallito de tronco by Perotto, Maria Cecilia

    Published 2022
    Subjects: “…Cucumber Vein Banding Virus…”
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    Artículo
  3. Tracking Agrobacterium strains by a RAPD system to identify single colonies from plant tumours by Llop, Pablo, Lastra, Beatriz, Marsal, H., Murillo, Jesús, López, María M.

    Published 2017
    “…The procedure allowed rapid identification of isolates recovered from tumours by comparison of their band patterns with band patterns of strains used as inoculum. …”
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    Artículo
  4. Estimation of Biomass Carbon Stocks over Peat Swamp Forests using Multi-Temporal and Multi-Polratizations SAR Data by Wijaya, A., Liesenberg, V., Susanti, A., Karyanto, O., Verchot, Louis V.

    Published 2015
    “…Abstract. The capability of L-band radar backscatter to penetrate through the forest canopy is useful for mapping the forest structure, including above ground biomass (AGB) estimation. …”
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    Conference Paper
  5. Faktorer som styr valet av boggiband på skogsmaskiner by Forsberg, Erik

    Published 2016
    “…Studiens syfte var att undersöka hur band används idag och vilka faktorer som är styrande när skogsmaskinsentreprenörer väljer boggiband. …”
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    Second cycle, A2E
  6. Satellitbildsanalys av gremmeniellaskador med skogsvårdsorganisationens system by Wallin, Mona

    Published 2012
    “…Resultaten blev att våglängdsband 3, 5 eller 7 från Landsat satellitens TM sensor är de band som ger bäst resultat för att skilja ut bestånd där förändring har skett från bestånd som visar sig vara oförändrade. …”
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    Second cycle, A1E
  7. Landsat 5 thematic mapper models of soybean and corn crop characteristics by Thenkabail, Prasad S., Ward, A.D., Lyon, J.

    Published 1994
    “…The best corn models incorporated band 5 and/or band 7 along with band 4. The most significant corn models explained 80 per cent of the variability in wet biomass, 66 to 67 per cent of the variability in dry biomass, plant height, and leaf area index, and 52 per cent of the variability in yield. …”
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    Journal Article
  8. Immunological Techniques to Identify Azospirillum Associated with Wetland Rice by Ladha, J.K., Barraquio, W.L., Watanabe, I.

    Published 1982
    “…Antisera against two strains belonging to Azospirillum lipoferum produced at least one heat-labile precipitation band with most isolates of A. lipoferum and A. brasilense. …”
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    Journal Article
  9. Prediction of the extractives content of Eucalyptus globulus wood using NIRbased PLS-R models. Influence of spectral range and preprocessing on the percentage of outliers detected by Simões, R., Alves, A., Pathauer, Pablo Santiago, Palazzini, Dino, Marcucci Poltri, Susana Noemi, Rodrigues, J.

    Published 2022
    “…Due to this difference, models that included the O-H band assigned above 73% of the spectra as outliers regardless of preprocessing, whereas models that did not include the O-H band assigned fewer spectra as outliers. …”
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    Artículo
  10. Density and phenology of the invasive mealybug Delottococcus aberiae on citrus: implications for integrated pest management by Martínez-Blay, Victoria, Pérez-Rodríguez, Jésica, Tena, Alejandro, Soto, Antonia

    Published 2019
    “…The use of corrugated cardboard band traps is recommended to monitor population levels and sticky traps to determine male flight periods, representing simple sampling techniques to monitor D. aberiae. …”
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    Artículo
  11. Hjärtfrekvens och hjärtfrekvensvariabilitet som fysiologiskt mått på mental stress hos hästar by Lindell, Emma

    Published 2010
    “…Two of these parameters are low frequency band (LF) and high frequency band (HF). The conclusion of the literature study is that HR seems to be an appropriate tool to detect mental stress during short and instant stress situations. …”
    M2

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