IoT Technology Used in Vineyard Monitoring

M. Hnatiuc, A. Ranca, V. Artem, B. Hnatiuc, S. Sintea, S. Ghita
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引用次数: 3

Abstract

The environment parameters are used for the vines behavior identification. The new Internet of Things (IoT) technology is used in Precision Farm (PF) practices correlated with machine learning algorithms (ML) leading to conceptual innovations of smart farms. This paper present studies results of the vineyard monitoring using the soil and weather parameters in the farm. The IoT sensors send data to the cloud and using PYTHON open source software the results are correlated and classified. The IoT system and methods are briefly described in the first part of the paper.
物联网技术在葡萄园监控中的应用
环境参数用于葡萄树的行为识别。新的物联网(IoT)技术用于与机器学习算法(ML)相关的精密农场(PF)实践,从而实现智能农场的概念创新。本文介绍了利用农场土壤和天气参数对葡萄园进行监测的研究结果。物联网传感器将数据发送到云端,并使用PYTHON开源软件将结果进行关联和分类。本文第一部分简要介绍了物联网系统和方法。
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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