Classification of Cactus Disease Based on Infrared Wavelength Image Processing

Nattapol Phattanajindakij, C. Wannaboon
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引用次数: 1

Abstract

Cactus is one of the important cash crops of Thailand. Due to relatively easy to maintain, it has widely gained a lot of popularity in the field of ornamental plants. Cactus plants with soft rot is the crucial disease, since it does not indicate or effect to the appearance of the plant. This paper presents an application to analyze the cactus disease using infrared wavelength image processing. Normalized Difference Vegetation Index (NDVI) and OpenCV algorithm are utilized to determine the health of cactus plant. The overall application is operated on a Raspberry Pi with No InfraRed (NoIR) camera. The results show a capability of soft-rot detection in a group of cacti with a single image. This application offers a cost-effective plant health monitoring system for better production.
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基于红外波长图像处理的仙人掌病害分类
仙人掌是泰国重要的经济作物之一。由于相对容易维护,它在观赏植物领域得到了广泛的普及。仙人掌植物软腐病是一种关键病害,因为它并不指示或影响植物的外观。本文介绍了红外波长图像处理在仙人掌病害分析中的应用。采用归一化植被指数(NDVI)和OpenCV算法确定仙人掌植物的健康状况。整个应用程序是在没有红外(NoIR)相机的树莓派上操作的。结果表明,该方法对一组仙人掌具有单幅图像检测软腐病的能力。该应用程序为更好的生产提供了一个具有成本效益的植物健康监测系统。
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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