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  1. 401
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    Chapter 13 — Developing a Preventive Pruning Program in Your Community: Mature Trees by Edward F. Gilman, Amanda Bisson

    Published 2007-11-01
    “…ENH1063/EP316: Chapter 13—Developing a Preventative Pruning Program: Mature Trees (ufl.edu) …”
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  3. 403
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    Metabolomic and morphological trait diversity display contrasting patterns in temperate forest tree communities by Jonathan J. Henn, Brian E. Sedio, Christopher P. Catano, Emily Dewald‐Wang, Dilys Vela Díaz, James A. Lutz, Sean M. McMahon, Geoffrey Parker, Jonathan A. Myers, Marko J. Spasojevic

    Published 2024-12-01
    “…Across tree species, we find that most metabolomic traits are not correlated with morphological traits, adding a unique dimension to functional trait space. …”
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  6. 406

    Chapter 13 — Developing a Preventive Pruning Program in Your Community: Mature Trees by Edward F. Gilman, Amanda Bisson

    Published 2007-11-01
    “…ENH1063/EP316: Chapter 13—Developing a Preventative Pruning Program: Mature Trees (ufl.edu) …”
    Get full text
    Article
  7. 407

    Demographic rates and diversity vary with tree stature and ontogenetic stage in an African tropical rainforest by Moses B. Libalah, Sabrina E. Russo, George B. Chuyong, Duncan Thomas, David Kenfack

    Published 2025-01-01
    “…Abstract The vertical gradient of light in closed‐canopy forests selects for trees with different adult statures, but our understanding of how stature affects forest diversity and demography is unclear. …”
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    Article
  8. 408

    Analisis Sentimen Bahasa Indonesia pada Twitter Menggunakan Struktur Tree Berbasis Leksikon by Feby Tri Saputra, Yani Nurhadryani, Sony Hartono Wijaya, Defina Defina

    Published 2021-02-01
    “…Hubungan antarkata dapat direpresentasikan dengan baik menggunakan struktur tree. Penelitian ini menggunakan struktur tree sebagai interpretasi hubungan antarkata dalam pembentukan kalimat dengan menambahan kata ke dalam sentimen leksikon. …”
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    Article
  9. 409
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    Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study by Amir Ahmad, Ourooj Safi, Sharaf Malebary, Sami Alesawi, Entisar Alkayal

    Published 2021-01-01
    “…The paper investigates the application of decision tree ensembles which are accurate and robust to the selection of parameters. …”
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    Article
  11. 411

    Laurel Wilt: A Threat to Redbay, Avocado and Related Trees in Urban and Rural Landscapes by Albert E. Mayfield, III, Jonathan H. Crane, Jason A. Smith

    Published 2008-04-01
    “…Smith, describes for homeowners this fungal disease of trees in the laurel family that is carried by the non-native redbay ambrosia beetle. …”
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  12. 412

    How to Characterize Soil Variability in Florida Citrus Groves as It Relates to Tree Growth and Yield by Kirandeep K. Mann, Arnold W. Schumann, Thomas A. Obreza, Willie G. Harris, Jerry B. Sartain

    Published 2012-01-01
    “…Non-uniform tree growth and fruit yield are very common throughout many Florida citrus groves, but variable groves are typically managed as if they were uniform. …”
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  13. 413

    Common Questions When Using Soil Moisture Sensors for Citrus and Other Fruit Trees by Eric Herrera, Sandra M. Guzmán, Eduart Murcia

    Published 2021-03-01
    “… This guide is for Extension personnel who may encounter questions from growers about the functioning and accuracy of soil moisture sensors (SMSs) for fruit tree production. The 4-page publication focuses on two types of handheld sensors currently used in Florida for irrigation management of citrus and other trees: the transmission line oscillator (TLO) and time-domain transmissometer (TDT). …”
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  14. 414

    Optimized Naive-Bayes and Decision Tree Approaches for fMRI Smoking Cessation Classification by Amirhessam Tahmassebi, Amir H. Gandomi, Mieke H. J. Schulte, Anna E. Goudriaan, Simon Y. Foo, Anke Meyer-Baese

    Published 2018-01-01
    “…Then, the feature matrix was fed into the machine learning classifiers including optimized CART decision tree and Naive-Bayes classifier with standard and optimized implementation employing 10-fold cross-validation. …”
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  15. 415

    Research on Fault Diagnosis for Pumping Station Based on T-S Fuzzy Fault Tree and Bayesian Network by Zhuqing Bi, Chenming Li, Xujie Li, Hongmin Gao

    Published 2017-01-01
    “…According to the characteristics of fault diagnosis for pumping station, such as the complex structure, multiple mappings, and numerous uncertainties, a new approach combining T-S fuzzy gate fault tree and Bayesian network (BN) is proposed. On the one hand, traditional fault tree method needs the logical relationship between events and probability value of events and can only represent the events with two states. …”
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  16. 416

    Pengaruh Prediksi Missing Value pada Klasifikasi Decision Tree C4.5 by Aji Seto Arifianto, Kursita Dewi Safitri, Khafidurrohman Agustianto, I Gede Wiryawan

    Published 2022-08-01
    “…Penelitian ini melakukan uji coba pengembangan rule decision tree C4.5 untuk data penyakit ginjal kronis. Dataset terdiri dari 400 record, 24 atribut dan 1 kelas target. …”
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    Estimation of Tree Vitality Reduced by Pine Needle Disease Using Multispectral Drone Images by Langning Huo, Iryna Matsiakh, Jonas Bohlin, Michelle Cleary

    Published 2025-01-01
    “…Multispectral imagery from unmanned aerial vehicles (UAVs) can provide high-resolution data to map tree mortality caused by pests or diseases. Although many studies have investigated UAV-imagery-based methods to detect trees under acute stress followed by tree mortality, few have tested the feasibility and accuracy of detecting trees under chronic stress. …”
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