مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

video

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

sound

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Version

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

View:

188
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Download:

0
Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Cites:

Information Journal Paper

Title

Spatial distribution mapping of common yarrow (Achilla millefolium) and thyme (Thymus kotschianus) using artificial neural network (Case study: Donna rangelands, Mazandaran province)

Pages

  107-119

Abstract

 Background and Objective: The purpose of this study was to map the spatial distribution of common yarrow (Achilla millefolium) and thyme (Thymus kotschianus) using artificial neural network model in rangelands Donna, Mazandaran Province. Method: Sampling was carried out with equal random classification in 29 homogenous units. In each unit, 3 soil samples were harvested from depth of 0-30 cm. In this study, 20 environmental factors were the independent variables and the presence of plant species were the dependent variable. For the preparation spatial distribution map of the species, environmental data were converted to maps in GIS. Then each of these factors was classified using the frequency. In this research, network Multilayer Perceptron that is the most common feed forward neural network was used. Optimal structure for the network was determined 1, 20, and 20. Then distribution maps of studied species were prepared with 4 class absence and low presence, medium presence and high presence in the GIS software. Models were evaluated using ROC curves and Kappa coefficient. Findings: AUC were 96. 8 and 84. 7 for the species Achilla millefolium and Thymus kotschianus was, respectively that indicates models are excellent or very good for the prediction. Discussion and Conclusion: Also kappa coefficient were calculated as 89. 0 and 76. 0 for Achilla millefolium and Thymus kotschyanus, respectively which indicate very good and good prediction.

Cites

  • No record.

    • References

  • No record.

    • Cite

    APA: Copy

    bahreini, zeinab, JAFARIAN, ZEINAB, & SHOKRI, MARYAM. (2021). Spatial distribution mapping of common yarrow (Achilla millefolium) and thyme (Thymus kotschianus) using artificial neural network (Case study: Donna rangelands, Mazandaran province). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, 22(11 (102) ), 107-119. SID. https://sid.ir/paper/409123/en

    Vancouver: Copy

    bahreini zeinab, JAFARIAN ZEINAB, SHOKRI MARYAM. Spatial distribution mapping of common yarrow (Achilla millefolium) and thyme (Thymus kotschianus) using artificial neural network (Case study: Donna rangelands, Mazandaran province). JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY[Internet]. 2021;22(11 (102) ):107-119. Available from: https://sid.ir/paper/409123/en

    IEEE: Copy

    zeinab bahreini, ZEINAB JAFARIAN, and MARYAM SHOKRI, “Spatial distribution mapping of common yarrow (Achilla millefolium) and thyme (Thymus kotschianus) using artificial neural network (Case study: Donna rangelands, Mazandaran province),” JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY, vol. 22, no. 11 (102) , pp. 107–119, 2021, [Online]. Available: https://sid.ir/paper/409123/en

    Related Journal Papers

  • No record.

    • Related Seminar Papers

  • No record.

    • Related Plans

  • No record.

    • Recommended Workshops






    Move to top