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Research Methods for Plant Health Detection using Computer Vision Techniques: A Survey

机译:计算机视觉技术植物健康检测研究方法:调查

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摘要

The agricultural production is that thing on which Indian Economy greatly depends. This is one of the reasons that disease detection in plants plays a significant role in the agriculture field, as contain the disease in plants is quite natural. If proper care is not taken in this region then it causes serious effects on plants and because of which respective product quality, quantity or productivity is affected. Plants have become an important source of energy, and are a fundamental piece in the puzzle to solve the problem of global warming. It is very difficult to monitor the plant diseases manually. It requires a tremendous amount of work, expertise in plant diseases, and also requires excessive processing time. Hence, image processing is used for the detection of plant diseases. Plant disease detection through some automatic technique is beneficial as it reduces a large work of monitoring in big farms of crops and at a very early stage itself it detects the symptoms of diseases means when they appear on plant leaves. In this proposed paper literature survey is done to study the different types of image processing technique, which helps to detect the plant disease using image processing.
机译:农业生产是印度经济大大依赖的东西。这是植物中疾病检测在农业领域发挥重要作用的原因之一,植物中的疾病是非常自然的。如果在该地区没有采取适当的护理,那么它会对植物产生严重影响,并且由于其各自的产品质量,数量或生产力受到影响。植物已成为能源的重要来源,是难题的基本作品,以解决全球变暖问题。手动监测植物疾病是非常困难的。它需要巨大的工作,植物疾病的专业知识,并且还需要过度处理时间。因此,图像处理用于检测植物疾病。通过一些自动技术植物疾病检测是有益的,因为它减少了作物大农场的大量监测,并且在一个非常早期的阶段本身,它会发现疾病的症状意味着它们出现在植物叶上。在该提出的纸张文献调查中,研究了研究不同类型的图像处理技术,有助于使用图像处理检测植物疾病。

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