Digital Mapping of Soil Landscape Parameters Geospatial Analyses using Machine Learning and Geomatics /

Digital Mapping of Soil Landscape Parameters Geospatial Analyses using Machine Learning and Geomatics /

Bibliografski detalji
Glavni autori: Garg, Pradeep Kumar (Autor), Garg, Rahul Dev (Autor), Shukla, Gaurav (Autor), Srivastava, Hari Shanker (Autor)
Autor kompanije: SpringerLink (Online service)
Sažetak:XIX, 142 p. 39 illus., 31 illus. in color.
text
Jezik:engleski
Izdano: Singapore : Springer Nature Singapore : Imprint: Springer, 2020.
Izdanje:1st ed. 2020.
Serija:Studies in Big Data, 72
Teme:
Computational intelligence.
Big data.
Geographic information systems.
Computational Intelligence.
Big Data.
Geographical Information System.
Online pristup:https://doi.org/10.1007/978-981-15-3238-2
Format: Elektronički Knjiga
Sadržaj:
  • Chapter 1. Concept of Digital Mapping
  • Chapter 2. Different Approaches on Digital Mapping of Soil
  • Chapter 3. Selection of Suitable Variables and Their Development
  • Chapter 4. Digital Soil Mapping: Implementation and Assessment
  • Chapter 5. Prediction Modelsfor Crop Mapping
  • Chapter 6. Spatial Soil Moisture Prediction Model over an Agricultural Land.

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