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Computer Vision For Predicting Unhealthy Region Of Rice Leaves - A Review

机译:计算机视觉预测水稻叶片不健康区域的研究进展

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Rice [Oryza sativa) is a very important food crop of Indian overall agricultural economy. Moreover, it is the staple food of southern and eastern India. Since the consumption is more the rice plant has to be analyzed well with its diseases and proper disease control measures should be taken with rice otherwise it gives major economic loss and reduce grain quality. This paper reviews the importance of rice plant infection due to plant pathogen. In the last two decades the scientist draws the attention on automatic plant disease identification from visible symptoms due to the quick development of computer technology, it makes researchers to automatically identify the diseases in plant from early symptoms. This review summarizes completely different survey with numerous ways supported on colour conversion, segmenting the pigment, extracting the features and classifying the disease. Though advancement has taken place some of the challenges were still lacking. To overcome the problem, it concludes with intensive studies on the prediction and classification of rice plant diseases for each methodology.
机译:稻米(Oryza sativa)是印度整体农业经济中非常重要的粮食作物。此外,它是印度南部和东部的主食。由于消耗的更多,必须对水稻植物进行病害分析,并应对水稻采取适当的疾病控制措施,否则会造成重大的经济损失并降低谷物品质。本文回顾了由于植物病原体引起的水稻植物感染的重要性。在过去的二十年中,由于计算机技术的迅速发展,科学家将注意力从可见症状自动识别植物病害,这使研究人员能够从早期症状中自动识别植物病害。这篇综述总结了完全不同的调查,并提供了多种支持颜色转换,分割颜料,提取特征和分类疾病的方法。尽管取得了进步,但仍然缺少一些挑战。为了克服这个问题,本文最后对每种方法对水稻植物病害的预测和分类进行了深入研究。

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