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E-agriculture

In: New Trends in Computational Vision and Bio-inspired Computing

Author

Listed:
  • Madhu Bhan

    (Ramaiah Institute of Technology, Department of Master of Computer Applications)

  • P. N. Anil

    (Ramaiah Institute of Technology, Department of Master of Computer Applications)

  • D. T. Chaitra

    (Ramaiah Institute of Technology, Department of Master of Computer Applications)

Abstract

In recent years, government has provided a lot of support for development of agriculture. Farmers also have a lot of interest in adopting new schemes and technologies, where they can expect to increase their income and boost their yields. Decision support systems for Agriculture can help farmers to handle and manage complex problems in crop cultivation and production, utilizing the best available data and knowledge to frame the strategies for better yield and profit. This paper titled “E-Agriculture” presents an application to help farmers to get information to increase returns. The application provides complete information on crop selection, soil constituents, fertilizer selection The Application also provides information on current weather, existing market prices of crops in the nearest areas, direct selling and buying of products/crops etc. E-Agriculture is an application that helps farmers cut the middleman out.

Suggested Citation

  • Madhu Bhan & P. N. Anil & D. T. Chaitra, 2020. "E-agriculture," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 233-245, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_21
    DOI: 10.1007/978-3-030-41862-5_21
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