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Remote Sensing Applications to Infer Yield of Tea in a Part of Sri Lanka

  • Saumitra MukherjeeEmail author
  • Jayasekara Balasuriya
  • Don Aruna
  • Pradeep Kumara
  • Chander Kumar Singh
Chapter

Abstract

Crop yields in any location and any species are subject to many dynamic factors of production which are biotic and abiotic. No two agro ecosystems are identical. Here an effort is made to infer the yield of tea in a part of Sri Lanka based on conventional and new techniques of remote sensing applications . Sri Lanka is an agriculture-based country and the sector shares about 12 % of Gross Domestic Product (GDP). Paddy, coconut, tea and rubber plantations are the major crops which cover major portion of the agricultural lands. Rice , which is the staple food, is cultivated in every part of the country during the maha (rabi) season (September to March). However, in yala (kharif) season (April to August), it is limited due to unavailability of canal water.

Ceylon tea Productivity and yield Remote sensing Sri Lanka Vegetation indices 

Notes

Acknowledgements

Authors acknowledge the facilities provided in School of Environmental Sciences, Jawaharlal Nehru University for the experimental and interpretation work for this chapter.

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Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  • Saumitra Mukherjee
    • 1
    Email author
  • Jayasekara Balasuriya
    • 1
  • Don Aruna
    • 1
  • Pradeep Kumara
    • 1
  • Chander Kumar Singh
    • 1
  1. 1.Remote Sensing Applications Laboratory, School of Environmental SciencesJawaharlal Nehru UniversityNew DelhiIndia

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