View More View Less
  • 1 Hungarian Institute of Agricultural Engineering Tessedik Sámuel u. 4 H-2100 Gödöllő Hungary
  • | 2 Hungarian Institute of Agricultural Engineering Godollo Hungary
  • | 3 Corvinus University of Budapest Physics and Control Department Faculty of Food Science Somlói u. 14-16 H-1118 Budapest Hungary
Restricted access

Purchase article

USD  $25.00

1 year subscription (Individual Only)

USD  $173.00

The hyperspectral imaging spectroscopy is a promising future tool in the field of optical remote sensing and it creates new perspective for modern information management in site specific agricultural production. One can determine quantitative relationships between the environmental and physiological parameters of vegetation cover and the soil quality parameters as well as the features of the reflectance spectra by the newgeneration data monitoring and sampling method. These reflectance spectra have characteristics of the different crops and provide with the possibility of accurate classification and detection. The objective was to present the technological capabilities of hyperspectral imaging and show some exprimental results of nutrient sensitive changes in the winter wheat spectra. There were found two characteristic wavelength ranges: the 500 to 800 nm for wheat kernel samples and the 1650 nm to 1800 nm for wheat ear samples where fertilizer treatments showed definite trend on the basis of the normalized reflectance spectra.

  • Balla, I., Szentpétery, Zs., Jolánkai, M. (2011) The impact of precipitation on crop yield in a small-plot winter wheat (Triticum aestivum L.) trial series. X. Alps-Adria Scientific Workshop. Növénytermelés. Opatija, Croatia pp. 309–313.

  • Burai, P., Tamás, J. (2005) Evaluation of soil degradation by means of high resolution remote sensing data. (In Hungarian: Talajdegradációs folyamatok vizsgálata nagy felbontású távérzékelt adatforrások alapján). Agrártudományi Közlemények, no. 16 különszám (2005): 145–148.

  • Csorba, Á., Jordán, Gy. (2010) Preliminary Results of Airborne and Ground-Based Hyperspectral Mineral Mapping of Acidic Mine Waste in the Recsk Mining Area, Hungary. Contributii Stiintifice in Tehnologii si Echimpamente Pentru Evaluarea si Protectia Mediului. Simpozium National, Arcalia (Bistrita-Nasaud), September 24–26, Caiet de rezumate, pp. 33–34.

  • Cubero, S., Moltó, E., Gutiérrez, A., Aleixos, N., García-Navarrete, O. L., Juste, F., Blasco, J. (2010) Real-time Inspection of Fruit by Computer Vision on a Mobile Harvesting Platform under Field Conditions. Progress in Agricultural Engineering Sciences 6, 1–16 pp. DOI:10.1556/Progress.6.2010.1

  • Fenyvesi, L. (2008) Characterization of the soil — plant condition with hyperspectral analysis of the leaf and land surface. Cereal Research Communication, (Supp 5) pp. 659–663.

  • Firtha, F., Fekete, A., Kaszab, T., Gillay, B., Nogula-Nagy, M., Kovács, Z., Kantor, D. B. (2008) Methods for Improving Image Quality and Reducing Data Load of NIR Hyperspectral Images. SENSORS 8: pp. 3287–3298.

  • Kaszab, T., Firtha, F., Fekete, A. (2008) Influence of Non-ideal Storage Conditions on Carrot Moisture Content Loss. Progress in Agricultural Engineering Sciences 4, 61–75 pp. DOI:10.1556/Progress.4.2008.4

  • Kőmíves, T., Béres, I., Reisinger, P., Lehoczky, É., Berke, J., Tamás, J., Páldy, A., Csornai, G., Nádor, G., Kardeván, P., Mikulás, J., Gólya, G., Molnár, J. (2006) The new strategy program of integral weed control of rag-weed (Ambrosia artemisiifolia) (In Hungarian). Magyar Gyomkutatás és Technológia, 7(1): 5–49.

    Molnár J. , 'The new strategy program of integral weed control of rag-weed (Ambrosia artemisiifolia) (In Hungarian) ' (2006 ) 7 Magyar Gyomkutatás és Technológia : 5 -49.

    • Search Google Scholar
  • Lágymányosi, A., Szabó, I. (2011) Investigation of chaff surface with imaging (In Hungarian). Fiatal Műszakiak Tudományos Ülésszaka XVI., Kolozsvár Műszaki Tudományos Füzetek pp. 177–180.

  • Lágymányosi, A., Szabó, I. (2009) Calibration procedure for digital imaging, Synergy and Technical Development Gödöllő, Hungary, 30. Synergy 2009 CD-ROM Proceedings

  • Milics, G., Virág, I., Farouk, M., A., Burai, P., Lénárt, Cs. (2010) Airborne hyperspectral imaging for data collection for resilient agro-ecosystems. 9th Alps-Adria Scientific Workshop. Növénytermelés. Špičák, Czech Republic, 2010. 04. 12–17. (Ed.: M. Harcsa) Akadémiai Kiadó, Vol. 59., pp. 593–596.

  • Milics, G., Deákvári, J., Burai, P., Lénárt, Cs., Balla, I., Csiba, M., Farouk, M., Virág, I., Nagy, V., Neményi, M. (2011) Application of hyperspectral imaging in precision crop production and soil management. Pollution and water resources. Columbia University Seminar Proceedings (Ed.: George J. Halasi-Kun) Vol. XL. 2010–2011., pp. 139–149

  • Szalay, D. K., Tolner, I. T., Csorba, Á., Deákvári, J., Kovács, L., Kardeván, P., Fenyvesi, L. (2010) The hiperspectral remote sensing — The magnitude and the application of field and laboratory measurements. A Gépipari Tudományos Egyesület Mezőgépipari Szakosztály Tanácskozásának Kiadványa, 38–44 pp.

  • Tarnawa, Á., Nyárai, F., Máté, A. (2011) Statistical assessment of climatic impacts on the nitrogen nutrition of maize (Zea mayze L.) crop. 10th Alps-Adria Scientific Workshop. Növénytermelés. Opatija, Croatia 207–210 pp.

  • Tibor, I. T. (2011) Investigation of the effects of various acid treatments on the optical reflection spectra of a soil sample. 10th Alps-Adria Scientific Workshop. Növénytermelés. Opatija, Croatia 207–210 pp.

  • Virág, I., Szőke, Cs. (2011) Field and laboratory examinations of corn plants by means of hyperspectral imaging. 10th Alps-Adria Scientific Workshop. Növénytermelés. Opatija, Croatia 69–72 pp.

 

 

The author instruction is available in PDF.
Please, download the file from HERE.

 

 

Senior editors

Editor(s)-in-Chief: Felföldi, József

Chair of the Editorial Board Szendrő, Péter

Editorial Board

  • Beke, János (Szent István University, Faculty of Mechanical Engineerin, Gödöllő – Hungary)
  • Fenyvesi, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Szendrő, Péter (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Felföldi, József (Szent István University, Faculty of Food Science, Budapest – Hungary)

 

Advisory Board

  • De Baerdemaeker, Josse (KU Leuven, Faculty of Bioscience Engineering, Leuven - Belgium)
  • Funk, David B. (United States Department of Agriculture | USDA • Grain Inspection, Packers and Stockyards Administration (GIPSA), Kansas City – USA
  • Geyer, Martin (Leibniz Institute for Agricultural Engineering and Bioeconomy (ATB), Department of Horticultural Engineering, Potsdam - Germany)
  • Janik, József (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)
  • Kutzbach, Heinz D. (Institut für Agrartechnik, Fg. Grundlagen der Agrartechnik, Universität Hohenheim – Germany)
  • Mizrach, Amos (Institute of Agricultural Engineering. ARO, the Volcani Center, Bet Dagan – Israel)
  • Neményi, Miklós (Széchenyi University, Department of Biosystems and Food Engineering, Győr – Hungary)
  • Schulze-Lammers, Peter (University of Bonn, Institute of Agricultural Engineering (ILT), Bonn – Germany)
  • Sitkei, György (University of Sopron, Institute of Wood Engineering, Sopron – Hungary)
  • Sun, Da-Wen (University College Dublin, School of Biosystems and Food Engineering, Agriculture and Food Science, Dublin – Ireland)
  • Tóth, László (Szent István University, Faculty of Mechanical Engineering, Gödöllő – Hungary)

Prof. Felföldi, József
Institute: Physics-Control Department, Szent István University
Address: 1118 Budapest Somlói út 14-16
Phone: +36 1 305 7206
E-mail: Felfoldi.Jozsef@etk.szie.hu

Indexing and Abstracting Services:

  • CABI

2020  
Scimago
H-index
8
Scimago
Journal Rank
0,197
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q3
Mechanical Engineering Q4
Scopus
Cite Score
33/69=0,5
Scopus
Cite Score Rank
Environmental Engineering 126/146 (Q4)
Industrial and Manufacturing Engineering 269/336 (Q3)
Mechanical Engineering 512/596 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
53
Scopus
Documents
41
Days from submission to acceptance 122
Days from acceptance to publication 40
Acceptance rate 86%

 

2019  
Scimago
H-index
6
Scimago
Journal Rank
0,123
Scimago
Quartile Score
Environmental Engineering Q4
Industrial and Manufacturing Engineering Q4
Mechanical Engineering Q4
Scopus
Cite Score
18/33=0,5
Scopus
Cite Score Rank
Environmental Engineering 108/132 (Q4)
Industrial and Manufacturing Engineering 242/340 (Q3)
Mechanical Engineering 481/585 (Q4)
Scopus
SNIP
0,211
Scopus
Cites
13
Scopus
Documents
5

 

Progress in Agricultural Engineering Sciences
Publication Model Hybrid
Submission Fee none
Article Processing Charge 900 EUR/article
Printed Color Illustrations 40 EUR (or 10 000 HUF) + VAT / piece
Regional discounts on country of the funding agency World Bank Lower-middle-income economies: 50%
World Bank Low-income economies: 100%
Further Discounts Editorial Board / Advisory Board members: 50%
Corresponding authors, affiliated to an EISZ member institution subscribing to the journal package of Akadémiai Kiadó: 100%
Subscription Information Online subsscription: 145 EUR / 181 USD
Print + online subscription: 168 EUR / 210 USD
Online subscribers are entitled access to all back issues published by Akadémiai Kiadó for each title for the duration of the subscription, as well as Online First content for the subscribed content.
Purchase per Title Individual articles are sold on the displayed price.

Progress in Agricultural Engineering Sciences
Language English
Size B5
Year of
Foundation
2004
Publication
Programme
2021 Volume 17
Volumes
per Year
1
Issues
per Year
1
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 1786-335X (Print)
ISSN 1787-0321 (Online)

Monthly Content Usage

Abstract Views Full Text Views PDF Downloads
Feb 2021 0 0 0
Mar 2021 0 0 0
Apr 2021 1 0 0
May 2021 2 0 0
Jun 2021 0 0 0
Jul 2021 1 0 0
Aug 2021 0 0 0