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Plant Disease Detector

机译:植物病害检测仪

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摘要

nowadays agriculture crops face many problems like traits or diseases. Each year plant diseases, viruses and fungal attacks lead to crop losses up to 30% of total production. Clearly control of plant disease depends on accurate and rapid detection and identification of the disease. Detection is the process of identifying the presence of symptoms of disease. Farmers in India have minimal access to agricultural experts, who can inspect crop for identifying disease and provide advice about disease. Delayed expert responses or advice to queries often reach farmers too late which are useless. Automatic detection of plant disease is important as it beneficial to monitor large field of crops and identifies the presence of disease symptom on the plant leaf or stem. In this project we develop Mobile app for automatically detecting plant disease through image processing technique with the objective of providing fast, accurate, ease of use and inexpensive solutions to farmers.
机译:如今,农作物面临许多性状或疾病等问题。每年,植物病害,病毒和真菌侵袭导致作物损失高达总产量的30%。明确控制植物病害取决于准确,快速地检测和鉴定该病害。检测是识别疾病症状的过程。印度的农民与农业专家的接触很少,他们可以检查农作物以查明疾病并提供有关疾病的建议。专家的延迟答复或对咨询的建议通常太迟才到达农民手中,这是没有用的。自动检测植物病害很重要,因为它有利于监视大片作物并识别植物叶或茎上是否存在病害症状。在这个项目中,我们开发了通过图像处理技术自动检测植物病害的移动应用程序,旨在为农民提供快速,准确,易用和廉价的解决方案。

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