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Geospatial Technologies for Agriculture pp 3–14Cite as

Crop Area Statistics

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Part of the book series: SpringerBriefs in Environmental Science ((BRIEFSENVIRONMENTAL))

Abstract

Generation of crop statistics in India dates back to Kautilya’s Arthashastra (an ancient Indian treatise on statecraft belonging to third century BC) as well as Moghul era (sixteenth century). Currently, the crop statistics are generated based on land revenue system for major food crops and non-food crops. The data is received from the State Agricultural Statistics Authorities in various states and union territories. Methods for crop area estimation based on different sampling techniques have been successful but cost-effective methods, especially in developing or underdeveloped nations, are needed. New technologies like remote sensing, GPS, and GIS have played a major role. Crop area estimation at the national level is more established. Addressing accuracy first, it is important to address national versus small area estimation; in terms of accuracy, it seems to be a choice between accuracy and cost, assuming each has an approximate level of timeliness. Methods using satellite images have the essential component of reference of ground truths. In a mixed cropping pattern with small and fragmented holdings, the extent of ground truths was found to be inadequate, and studies indicate that manual extraction of field boundaries with thorough knowledge of the landscape provides useful results and provides control on datasets for further validation, while field inventory is done adopting an integrated approach.

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Authors and Affiliations

  1. International Crops Research Institute for the Semi Arid Tropics, Hyderabad, India

    K. V. Raju

  2. Pixel Softek Pvt. Ltd, Bangalore, India

    V. R. Hegde & Satish A. Hegde

Authors
  1. K. V. Raju
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  2. V. R. Hegde
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  3. Satish A. Hegde
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Raju, K.V., Hegde, V.R., Hegde, S.A. (2019). Crop Area Statistics. In: Geospatial Technologies for Agriculture. SpringerBriefs in Environmental Science. Springer, Cham. https://doi.org/10.1007/978-3-319-96646-5_2

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