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Health Detection of Wheat Crop Using Pattern Recognition and Image Processing

Author

Listed:
  • Balwant Ram

    (Lovely Professional University, Phagwara, India)

  • Mamoon Rashid

    (Lovely Professional University, Phagwara, India)

  • Kamlesh Lakhwani

    (Lovely Professional University, Phagwara, India)

  • Shibi S. Kumar

    (Lovely Professional University, Phagwara, India)

Abstract

Agriculture plays a vital role in India's economy. 44% of the employment in India is engaged in agriculture and allied activities and it also contributes 17% of the gross value added. As most of the country's people are in the agricultural sector and out of them only a few are literate about how to protect their cultivation ultimately gives rise to severe problems like a low economy in the sector and starvation for the nation. The job of this research is to help the farmers to save crops from disease. The authors came with the thought of combining a pattern recognition method and an image processing technique. The system allows a farmer to follow a particular pattern of growing crops so that threats will be analyzed earlier. Combining this with the power of Internet of Things, the authors can automate the process without the need for human resources. This research can ultimately make the agriculture process faster and farmers can cultivate more in a less amount of time.

Suggested Citation

  • Balwant Ram & Mamoon Rashid & Kamlesh Lakhwani & Shibi S. Kumar, 2020. "Health Detection of Wheat Crop Using Pattern Recognition and Image Processing," International Journal of Healthcare Information Systems and Informatics (IJHISI), IGI Global, vol. 15(2), pages 50-60, April.
    • Handle: RePEc:igg:jhisi0:v:15:y:2020:i:2:p:50-60
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    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJHISI.2020040104
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    Cited by:

    1. Ali Mostafaeipour & Mohammad Bagher Fakhrzad & Sajad Gharaat & Mehdi Jahangiri & Joshuva Arockia Dhanraj & Shahab S. Band & Alibek Issakhov & Amir Mosavi, 2020. "Machine Learning for Prediction of Energy in Wheat Production," Agriculture, MDPI, vol. 10(11), pages 1-19, October.

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