Health Detection of Wheat Crop Using Pattern Recognition and Image Processing

Balwant Ram, Mamoon Rashid, Kamlesh Lakhwani, Shibi S. Kumar

Source Title: International Journal of Healthcare Information Systems and Informatics (IJHISI)15(2)

ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781522597964|DOI: 10.4018/IJHISI.2020040104

MLA

Ram, Balwant, et al. "Health Detection of Wheat Crop Using Pattern Recognition and Image Processing." IJHISI vol.15, no.2 2020: pp.50-60. http://doi.org/10.4018/IJHISI.2020040104

APA

Ram, B., Rashid, M., Lakhwani, K., & Kumar, S. S. (2020). Health Detection of Wheat Crop Using Pattern Recognition and Image Processing. International Journal of Healthcare Information Systems and Informatics (IJHISI), 15(2), 50-60. http://doi.org/10.4018/IJHISI.2020040104

Chicago

Ram, Balwant, et al. "Health Detection of Wheat Crop Using Pattern Recognition and Image Processing," International Journal of Healthcare Information Systems and Informatics (IJHISI) 15, no.2: 50-60. http://doi.org/10.4018/IJHISI.2020040104

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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.