Prediction Models for Crop Mapping

Part of the Studies in Big Data book series (SBD, volume 72)


Crops are plants that are grown for food. Unless the available productive land which is the main source of human sustenance is protected and used in a scientific way to give better and increased returns there is no hope of human survival. The following chapter focuses on effective implementation of prediction algorithms for crop cover mapping. The various methods that have been, or could be used for crop cover mapping are discussed. The potential indicators that have been, or could be, used in crop prediction modelling are also discussed.


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Copyright information

© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Geomatics Section, Civil Engineering DepartmentIndian Institute of Technology RoorkeeRoorkeeIndia
  2. 2.Surveying and Geomatics Section, Civil Engineering DepartmentMaharishi Markandeshwar UniversityAmbalaIndia
  3. 3.Indian Institute of Remote Sensing (IIRS)DehradunIndia

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