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Data Science in Agriculture and Natural Resource Management

- 2022

Forfatter: info mangler
Bog
  • Format
  • Bog, hardback
  • Engelsk

Beskrivelse

Data Science: Principles and Concepts in Data Analysis and Modelling.- Data Science: Tools, Techniques and Potential Applications in Earth Observation Studies.- Data Science in Agriculture and Natural Resource Management: An Overview.- Applications of Reinforcement Learning and Recurrent Neural Network Based Deep Learning Frameworks in Agriculture.- Precision Farming Using Emerging Technologies.- An Architecture for Quality Centric Crop Production.- Integrating UAV and Field Sensor Data for Better Decision Making in Broadacre Cropping Systems.- Object Based Crop Classification for Precision Farming.- Disruptive Innovations in Precision Agriculture - Towards BD Analytics for Better GeoFarmatics.- A Paradigm-shift in Global Cropland Maps and Products for Food and Water Security in the Twenty-first Century: Petabyte Scale Satellite Big-data Analytics, Machine Learning, and Cloud Computing.- Big Data Analytics for Climate Resilient Supply Chains: Opportunities and Way Forward.- Mapping Croplands Using Machine Learning Algorithms and Spectral Matching Techniques.- Applications of Computer Vision in Precision Agriculture.- Innovative Geoportal Platforms for Sustainable Management of Natural Resources.

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Detaljer
  • SprogEngelsk
  • Sidetal290
  • Udgivelsesdato12-10-2021
  • ISBN139789811658464
  • Forlag Springer Singapore
  • Nummer i serien96
  • FormatHardback
Størrelse og vægt
  • Vægt670 g
  • Dybde2,4 cm
  • coffee cup img
    10 cm
    book img
    16 cm
    24,1 cm

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