论文标题
基于物联网的智能水质预测生物群水产养殖
IoT based Smart Water Quality Prediction for Biofloc Aquaculture
论文作者
论文摘要
传统的养殖养殖面临着几个挑战，包括水污染，温度不平衡，饲料，空间，成本等。水产养殖中的生物群落技术将手册转变为先进的系统，该系统可以通过将其转换为微生物蛋白来重新使用未使用的饲料。该研究的目的是提出一种基于物联网的水产养殖解决方案，以提高效率和生产力。本文提出了一个系统，该系统使用传感器收集数据，使用机器学习模型对其进行分析，在人工智能（AI）的帮助下生成决策，并向用户发送通知。提出的系统已进行了实施和测试，以验证和取得令人满意的结果。
Traditional fish farming faces several challenges, including water pollution, temperature imbalance, feed, space, cost, etc. Biofloc technology in aquaculture transforms the manual into an advanced system that allows the reuse of unused feed by converting them into microbial protein. The objective of the research is to propose an IoT-based solution to aquaculture that increases efficiency and productivity. The article presented a system that collects data using sensors, analyzes them using a machine learning model, generates decisions with the help of Artificial Intelligence (AI), and sends notifications to the user. The proposed system has been implemented and tested to validate and achieve a satisfactory result.
