使用物联网的智能植物护理语音识别和植物病害检测

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摘要

如今,物联网(IoT)和遥感(RS)技术被用于不同的研究领域,用于监测、收集和分析来自偏远地区的数据。植物病害的识别是防止农产品产量和数量损失的关键。植物病害的研究是指对植物上肉眼可见的规律的研究。植物健康监测和病害检测对农业可持续发展至关重要。人工监测植物病害是非常困难的。它需要大量的工作,在植物病害方面的专业知识,也需要过多的处理时间。因此,图像处理被用于植物病害的检测,也可以使用语音识别来照顾植物。远程数据中心通过互联网获取实时水质数据,并对数据进行分析、处理和记录。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smart Plant Care Voice Recognition and Plant Disease Detection Using IOT
Nowadays Internet of Things (IoT) and Remote Sensing (RS) techniques are used in different area of research for monitoring, collecting and analysis data from remote locations. Identification of the plant diseases is the key to preventing the losses in the yield and quantity of the agricultural product. The studies of the plant diseases mean the studies of visually observable patterns seen on the plant. Health monitoring and disease detection on plant is very critical for sustainable agriculture. It is very difficult to monitor the plant diseases manually. It requires tremendous amount of work, expertise in the plant diseases, and also require the excessive processing time. Hence, image processing is used for the detection of plant diseases and also care of plant using voice recognition. Through the Internet, Remote Data Center gets the real-time water quality data, and then analysis, process and record the data.
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