IoT-enabled smart farming: A cloud-based approach for polyhouse automation

IF 7.5 1区计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Expert Systems with Applications Pub Date : 2025-03-26 DOI:10.1016/j.eswa.2025.127358

Rajesh Kumar Mishra , Ashish Ranjan Dash , Anup Kumar Panda

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引用次数: 0

Abstract

The increasing demand for sustainable agriculture necessitates advanced automation in polyhouse farming to optimize resource utilization and enhance productivity. Traditional polyhouse management relies heavily on manual monitoring, leading to inefficiencies in irrigation, climate control, and energy consumption. This study presents an Internet of Things (IoT) and cloud-integrated automation system designed to streamline polyhouse operations. Unlike existing solutions, the proposed system offers real-time sensor-driven decision-making, remote monitoring via a mobile/web interface, and dynamic control of irrigation, temperature, and humidity. The proposed system enables users to monitor and control multiple polyhouses from a single interface. The system is designed to be scalable, cost-effective, and adaptable to various irrigation setups, including grid-connected and off-grid solutions. Performance evaluation demonstrates significant improvements in response time, energy efficiency, and overall cost-effectiveness compared to conventional approaches. This work contributes to smart agriculture by providing an intelligent, cloud-integrated framework for sustainable farming practices.

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来源期刊

Expert Systems with Applications 工程技术-工程：电子与电气

CiteScore

13.80

自引率

10.60%

发文量

2045

审稿时长

8.7 months

期刊介绍： Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.