基于人工智能算法的灌溉管理系统

Gonçalo Mestre, J. Matos-Carvalho, R. Tavares
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引用次数: 3

摘要

由于气候变化是现代社会最关注的问题,每个人都有责任通过为今天和下一代的问题找到可持续的解决方案,为减少全球变暖做出贡献。本文探讨了利用人工智能(AI)来预测灌溉水量的灌溉管理系统的设计和演示。为了实现提出的目标,小米Mi Flora传感器与ESP32微控制器、空气湿度、水流传感器和树莓派4的使用相结合,构建了一个无线智能解决方案。该解决方案不仅有助于减少水的浪费,而且利用太阳能作为电源,是一种可持续的选择。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Irrigation Management System using Artificial Intelligence Algorithms
Being the climate changes a top concern in modern society, everyone has the mission to contribute to global warming reduction, by finding sustainable solutions for today’s and next generation problems. This paper approaches the design and demonstration of an irrigation management system using Artificial Intelligence (AI) to predict the exact amount of irrigation water. To fulfill the proposed objective, a Xiaomi Mi Flora Sensor combined with the use of an ESP32 micro-controller, air humidity, water flow sensors and a Raspberry Pi 4 results in the construction of an wireless intelligent solution. The solution not only contributes against water waste but also uses solar energy has power source, being a sustainable option.
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