HydroIoT:基于物联网和边缘计算的多层次水培系统

Sanket Salvi, S. Savitha, Samyak Sawargaonkar, B. Vishwas, T. K. Harshitha, S. A. Pramod Jain
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引用次数: 1

摘要

可耕地面积的不断减少增加了实施改进技术的需求,这些技术可以比传统农业使用更少的空间并产生更多的产量。这种情况在所有发展中国家和欠发达国家都很普遍。为了解决日益严重的粮食短缺问题,我们提出了一个多级水培系统。该系统结合了物联网、边缘计算和计算机视觉等所有趋势技术,并将其应用于水培。实现了一种基于图像处理的栽培估计系统,并用实际生产验证了该系统的准确性。用于拟议系统的作物是玉米,因为它是牛的最佳饲料。结果表明,该系统对饲料产量的估计准确率可达95%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
HydroIoT: An IoT and Edge Computing based Multi-Level Hydroponics System
The depleting area of cultivable lands is increasing demands for implementing improved techniques that could use less space and produce more than traditional farming. This situation is common in all the developing and under developed countries. With a motivation to contribute towards providing solution to this growing problem of food scarcity, a Multi-Level Hydroponics System is proposed. The proposed system combines best of all trending technologies like IoT, Edge Computing and Computer Vision and applies it to Hydroponics. A cultivation estimation system based on image processing is implemented and accuracy of the same is tested with actual produce. The crop used for the proposed system is corn as it serves as best fodder for cattle. It was observed that with proposed system up to 95% accuracy in estimating fodder produce was achieved.
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