Poultry farm Environmental sensor Dataset

The demand for poultry products will keep rising as the world's population rises. One of the most significant and rapidly expanding economic sectors of India's agriculture sector is poultry. To meet this demand, increasing housing and managing more chicken birds is one potential technique to boost productivity. It will become more challenging for producers to keep track of the health, production, and welfare conditions of all of their birds as a result of this technique, labour shortages, and escalating biosecurity measures. To boost productivity while lowering expenses and resource utilization, it is essential to adopt intelligent poultry management systems. Additionally, Internet of Things (IoT), which is rapidly expanding and playing a significant role in the automation of today's environment, transforms conventional systems into automated systems. As technologies continue to advance, the poultry sector is getting ready to adapt new sensor technologies to boost productivity and animal welfare. Some researchers are collecting data personally based on the application and performed their research work. But they can’t compare their work due to lack of using standard datasets. By considering this thrust in experimenting and developing computational models for smart and intelligent poultry system this Dataset is prepared. Sensor Dataset of poultry farm consists of 336 reading collected in four months from August-2022 to November-2022 with per day three times reading from local poultry house by setting IoT based sensor network. These include environmental parameters such as temperature, humidity, Co2 gas concentration, NH3 gas concentration, and Light Intensity of a poultry house. It is prepared in Excel and CSV format which can be accessible by any supporting applications that researcher want. This dataset is suitable for those researchers who want to research on smart poultry systems that are based on the Internet of Things and Artificial Intelligence (AI) technologies to carry out a variety of intelligent management related tasks in poultry farms.

伴随全球人口增长，禽产品需求将持续攀升。家禽产业是印度农业领域中极具影响力且扩张最为迅速的经济板块之一。为满足这一需求，扩大养殖规模并增加家禽存栏量是提升产能的潜在路径之一。伴随该养殖模式的推行、劳动力短缺以及生物安全要求的不断升级，养殖户将愈发难以全面追踪所有家禽的健康状况、生产性能与福利状态。为在提升产能的同时降低成本与资源消耗，采用智能化家禽管理系统已成刚需。此外，快速发展并在当今自动化转型中发挥关键作用的物联网（Internet of Things, IoT）技术，可将传统养殖系统升级为自动化管控体系。随着技术持续迭代，家禽产业正积极引入新型传感器技术，以提升产能与动物福利水平。此前部分研究者基于实际应用场景自主采集数据并开展研究，但由于缺乏标准数据集，其研究成果难以开展横向对比。鉴于当前针对智能家禽管理系统开发与计算模型研究的迫切需求，本数据集应运而生。本家禽养殖场传感器数据集采集自2022年8月至2022年11月共四个月的监测数据，总计336条记录；通过搭建基于物联网的传感器网络，在当地某家禽舍每日开展三次采样。数据集涵盖家禽舍的核心环境参数，包括温度、湿度、二氧化碳（CO₂）浓度、氨气（NH₃）浓度以及光照强度。本数据集以Excel与CSV格式存储，可被研究者所需的各类支持应用读取与使用。本数据集适用于那些基于物联网与人工智能（Artificial Intelligence, AI）技术，开展家禽养殖场各类智能管理相关研究的科研人员。

搜集汇总

背景与挑战

背景概述

该数据集是一个家禽养殖环境传感器数据集，包含336条环境参数读数，适用于物联网和人工智能技术在智能家禽管理系统中的应用研究。数据集记录了温度、湿度、CO2浓度、NH3浓度和光照强度等关键环境参数，为研究人员提供了标准化的数据支持。