基于模式识别和图像处理的小麦作物健康检测

B. Ram, M. Rashid, Kamlesh Lakhwani, Shibi S. Kumar
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引用次数: 3

摘要

农业在印度经济中起着至关重要的作用。印度44%的就业从事农业和相关活动,它也贡献了总增加值的17%。由于这个国家的大多数人都在农业部门,其中只有少数人知道如何保护他们的种植,最终导致了该部门经济低迷和国家饥饿等严重问题。这项研究的工作是帮助农民使作物免受病害。作者提出了将模式识别方法与图像处理技术相结合的想法。该系统允许农民遵循特定的作物种植模式,以便更早地分析威胁。将其与物联网的力量相结合,作者可以在不需要人力资源的情况下实现流程自动化。这项研究最终可以使农业过程更快,农民可以在更短的时间内种植更多的作物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Health Detection of Wheat Crop Using Pattern Recognition and Image Processing
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.
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