KrishiMitr(农民的朋友):使用机器学习来识别植物的疾病

2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS) Pub Date : 2018-11-01 DOI:10.1109/IOTAIS.2018.8600898

Parul Sharma, Yash Paul Singh Berwal, Wiqas Ghai

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引用次数: 13

摘要

利用叶片上可见的症状进行疾病自动检测变得越来越重要。在这里，我们描述了一种算法，它使用机器学习来检测各种植物和疾病中的疾病。在噪声非常大的图像、不同的背景和不同的疾病覆盖情况下，获得了较高的准确率(>93%)。该算法能够自我训练，这意味着精度可以随着使用而提高。它可以在包括智能手机在内的各种平台上运行，因此可以帮助非专业农民有效地管理疾病。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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KrishiMitr (Farmer’s Friend): Using Machine Learning to Identify Diseases in Plants

Automatic disease detection using visible symptoms on leaves is becoming more and more important. Here we describe an algorithm, which uses machine learning to detect diseases in a wide variety of plants and diseases. High accuracy (>93%) was obtained with very noisy images, different backgrounds and different disease coverage. The algorithm is able to train itself, which means that the accuracy can increase with usage. It can run on a variety of platforms including smartphones and can thus aid non-expert farmers manage diseases effectively.

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2018 IEEE International Conference on Internet of Things and Intelligence System (IOTAIS)

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