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Makale detayı · 2020 · article

Determination and modelling of dielectric properties of the cherry leaves of varying moisture content over 3.30\u20137.05\u2009GHz frequency range

YÖKSİS OpenAlex
Yıl2020
Atıf26OpenAlex
Yüzdelik%78,8
FWCI1,291,00 = dünya ortalaması
Scopus (SJR)Q3
WoS (JCR)Q3

Veri kaynağı ayrımı

  • YÖKSİSYÖKSİS makale kaydı
  • YÖKSİS dergi adıJournal of Microwave Power and Electromagnetic Energy
  • Katalog eşleşmesi (ISSN)Journal of Microwave Power and Electromagnetic Energy
  • OpenAlexOpenAlex zenginleştirmesi (özet, atıf, konular)
  • Semantic Scholaratıf sayısı (OpenAlex ile birleştirilmez)

Özet

OpenAlex İngilizce

In order to exploit the use of remote sensing, microwave heating/drying and water stress in the agricultural sector, it is necessary to determine the dielectric properties of plant materials (branches, leaves, roots, fruits). In this way, the yield and quality of agricultural products can be increased. In this study, dielectric parameters of the sweet cherry and sour cherry leaves are measured by waveguide transmission line Method. The dielectric properties of the leaves (varying moisture content) are measured over a frequency ranging from (3.30–7.05 GHz) using WR229 (3.30–4.90 GHz) and WR159 (4.90–7.05 GHz) waveguide structures. A novel curve fitting technique is used to characterize dielectric properties of sweet cherry leaves. In order to verify the accuracy of the model the data obtained using this methodology is compared with measurement data of sour cherry leaves belonging to the same family. The determination coefficient R2 of the model for WR229 and WR159 are 0.996 and 0.998, respectively. Similarly, the Root Mean Square Error (RMSE) values of the model for WR229 and WR159 are 0.852 and 0.236, respectively.

Konular

Atıflar

OpenAlex cited_by_count. WoS veya Scopus atıf sayısı değildir; o kaynaklar için ayrı kolon yoktur.

26atıfOpenAlex · cited_by_count (önbellek / veritabanı)

Yerel katalogda bu makaleye atıf yapan 18 yayın (OpenAlex referans eşleşmesi; tam dünya listesi değildir).

  1. 2021 The dielectric properties prediction of the vegetation depending on the moisture content using the deep neural network modelAtıf 34 · OpenAlex
  2. 2021 The dielectric properties prediction of the vegetation depending on the moisture content using the deep neural network modelAtıf 34 · OpenAlex
  3. 2021 The dielectric properties prediction of the vegetation depending on the moisture content using the deep neural network modelAtıf 33 · OpenAlex
  4. 2022 Development of an integrated corn dryer with an indirect moisture measuring systemAtıf 21 · OpenAlex
  5. 2022 Development of an integrated corn dryer with an indirect moisture measuring systemAtıf 21 · OpenAlex
  6. 2022 Development Of An İntegrated Corn Dryer With An İndirect Moisture Measuring SystemAtıf 21 · OpenAlex
  7. 2021 Development of an integrated corn dryer with an indirect moisture measuring systemAtıf 21 · OpenAlex
  8. 2021 Development of an integrated corn dryer with an indirect moisture measuring systemAtıf 21 · OpenAlex
  9. 2021 Measuring and modelling the complex-permittivity of hemp plant (Cannabis Sativa) at X band for microwave remote sensingAtıf 14 · OpenAlex
  10. 2021 Measuring and modelling the complex-permittivity of hemp plant (Cannabis Sativa) at X band for microwave remote sensingAtıf 14 · OpenAlex

Yazarlar

3
  1. HABİB DOĞAN BURDUR MEHMET AKİF ERSOY ÜNİVERSİTESİ 1
  2. İBRAHİM BAHADIR BAŞYİĞİT 2
  3. ABDULLAH GENÇ 3