Standard
Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. / Badenko, Vladimir ; Kurtener, Dmitry; Yakushev, Viktor; Torbert, Allen ; Badenko, Galina.
Computational Science and Its Applications - ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III. Springer Nature, 2016. p. 57-69 (Lecture Notes in Computer Science; Vol. 9788).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Badenko, V, Kurtener, D, Yakushev, V, Torbert, A & Badenko, G 2016,
Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. in
Computational Science and Its Applications - ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III. Lecture Notes in Computer Science, vol. 9788, Springer Nature, pp. 57-69, 16th International Conference on Computational Science and Its Applications, Beijing, China,
4/07/16.
https://doi.org/10.1007/978-3-319-42111-7_6APA
Badenko, V., Kurtener, D., Yakushev, V., Torbert, A., & Badenko, G. (2016).
Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. In
Computational Science and Its Applications - ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III (pp. 57-69). (Lecture Notes in Computer Science; Vol. 9788). Springer Nature.
https://doi.org/10.1007/978-3-319-42111-7_6Vancouver
Badenko V, Kurtener D, Yakushev V, Torbert A, Badenko G.
Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. In Computational Science and Its Applications - ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III. Springer Nature. 2016. p. 57-69. (Lecture Notes in Computer Science).
https://doi.org/10.1007/978-3-319-42111-7_6Author
Badenko, Vladimir ; Kurtener, Dmitry ; Yakushev, Viktor ; Torbert, Allen ; Badenko, Galina. /
Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. Computational Science and Its Applications - ICCSA 2016: 16th International Conference, Beijing, China, July 4-7, 2016, Proceedings, Part III. Springer Nature, 2016. pp. 57-69 (Lecture Notes in Computer Science).
BibTeX
@inproceedings{99f3d571f58a4da9961e8a5fc8bf0a04,
title = "Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment",
abstract = "Current state of agricultural lands is defined under influence of processes in soil, plants and atmosphere and is described by observation data, complicated models and subjective opinion of experts. Problem-oriented indicators summarize this information in useful form for decision of the same specific problems. In this paper, three groups of problem-oriented indicators are described. The first group is devoted to evaluate agricultural lands with winter crops. Second group of indicators oriented for evaluation of soil disturbance. The third group of indicators oriented for evaluation of the effectiveness of soil amendments. For illustration of the methodology, a small computation was made and outputs are integrated in Geographic Information System.",
keywords = "Problem-oriented indicators, Soil disturbance, Damage of winter crops, Fuzzy and crisp models, Spatial extension of fuzzy set theory",
author = "Vladimir Badenko and Dmitry Kurtener and Viktor Yakushev and Allen Torbert and Galina Badenko",
note = "Badenko V., Kurtener D., Yakushev V., Torbert A., Badenko G. (2016) Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment. In: Gervasi O. et al. (eds) Computational Science and Its Applications -- ICCSA 2016. ICCSA 2016. Lecture Notes in Computer Science, vol 9788. Springer, Cham. https://doi.org/10.1007/978-3-319-42111-7_6; 16th International Conference on Computational Science and Its Applications ; Conference date: 04-07-2016 Through 06-07-2016",
year = "2016",
doi = "10.1007/978-3-319-42111-7_6",
language = "English",
isbn = "978-3-319-42110-0",
series = "Lecture Notes in Computer Science",
publisher = "Springer Nature",
pages = "57--69",
booktitle = "Computational Science and Its Applications - ICCSA 2016",
address = "Germany",
}
RIS
TY - GEN
T1 - Evaluation of Current State of Agricultural Land Using Problem-Oriented Fuzzy Indicators in GIS Environment
AU - Badenko, Vladimir
AU - Kurtener, Dmitry
AU - Yakushev, Viktor
AU - Torbert, Allen
AU - Badenko, Galina
N1 - Conference code: 16
PY - 2016
Y1 - 2016
N2 - Current state of agricultural lands is defined under influence of processes in soil, plants and atmosphere and is described by observation data, complicated models and subjective opinion of experts. Problem-oriented indicators summarize this information in useful form for decision of the same specific problems. In this paper, three groups of problem-oriented indicators are described. The first group is devoted to evaluate agricultural lands with winter crops. Second group of indicators oriented for evaluation of soil disturbance. The third group of indicators oriented for evaluation of the effectiveness of soil amendments. For illustration of the methodology, a small computation was made and outputs are integrated in Geographic Information System.
AB - Current state of agricultural lands is defined under influence of processes in soil, plants and atmosphere and is described by observation data, complicated models and subjective opinion of experts. Problem-oriented indicators summarize this information in useful form for decision of the same specific problems. In this paper, three groups of problem-oriented indicators are described. The first group is devoted to evaluate agricultural lands with winter crops. Second group of indicators oriented for evaluation of soil disturbance. The third group of indicators oriented for evaluation of the effectiveness of soil amendments. For illustration of the methodology, a small computation was made and outputs are integrated in Geographic Information System.
KW - Problem-oriented indicators
KW - Soil disturbance
KW - Damage of winter crops
KW - Fuzzy and crisp models
KW - Spatial extension of fuzzy set theory
U2 - 10.1007/978-3-319-42111-7_6
DO - 10.1007/978-3-319-42111-7_6
M3 - Conference contribution
SN - 978-3-319-42110-0
T3 - Lecture Notes in Computer Science
SP - 57
EP - 69
BT - Computational Science and Its Applications - ICCSA 2016
PB - Springer Nature
T2 - 16th International Conference on Computational Science and Its Applications
Y2 - 4 July 2016 through 6 July 2016
ER -
