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孟加拉国农业背景下的自动化农业监测环境智能作物种植系统。

Smart Crop Cultivation System Using Automated Agriculture Monitoring Environment in the Context of Bangladesh Agriculture.

机构信息

Department of Computer Science and Engineering, Faculty of Science and Technology, Notre Dame University Bangladesh, Dhaka 1000, Bangladesh.

Agricultural Engineering Technology, School of Agriculture, Tennessee Tech University, Cookeville, TN 38505, USA.

出版信息

Sensors (Basel). 2023 Oct 15;23(20):8472. doi: 10.3390/s23208472.

DOI:10.3390/s23208472
PMID:37896565
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10611150/
Abstract

The Internet of Things (IoT) is a transformative technology that is reshaping industries and daily life, leading us towards a connected future that is full of possibilities and innovations. In this paper, we present a robust framework for the application of Internet of Things (IoT) technology in the agricultural sector in Bangladesh. The framework encompasses the integration of IoT, data mining techniques, and cloud monitoring systems to enhance productivity, improve water management, and provide real-time crop forecasting. We conducted rigorous experimentation on the framework. We achieve an accuracy of 87.38% for the proposed model in predicting data harvest. Our findings highlight the effectiveness and transparency of the framework, underscoring the significant potential of the IoT in transforming agriculture and empowering farmers with data-driven decision-making capabilities. The proposed framework might be very impactful in real-life agriculture, especially for monsoon agriculture-based countries like Bangladesh.

摘要

物联网（IoT）是一项变革性技术，正在重塑各个行业和日常生活，引领我们走向充满可能性和创新的互联未来。在本文中，我们提出了一个在孟加拉国农业领域应用物联网（IoT）技术的强大框架。该框架包括物联网、数据挖掘技术和云监测系统的集成，以提高生产力、改善水资源管理并提供实时作物预测。我们对该框架进行了严格的实验。我们在预测数据收获方面提出的模型的准确率达到 87.38%。我们的研究结果突出了该框架的有效性和透明度，强调了物联网在农业转型和为农民提供数据驱动决策能力方面的巨大潜力。该框架在现实农业中可能具有非常大的影响力，特别是对孟加拉国这样的季风农业国家。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5ba7/10611150/c62f2b97a976/sensors-23-08472-g013.jpg
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本文引用的文献

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AgriTrust-A Trust Management Approach for Smart Agriculture in Cloud-based Internet of Agriculture Things.基于云的农业物联网中的智能农业信任管理方法——AgriTrust-A 信任管理方法
Sensors (Basel). 2020 Oct 29;20(21):6174. doi: 10.3390/s20216174.
2
An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture.基于能量效率和安全性的物联网无线传感器网络框架：在智慧农业中的应用。
Sensors (Basel). 2020 Apr 7;20(7):2081. doi: 10.3390/s20072081.