An overview of smart agriculture using internet of things (IoT) and web services

The presented work provides an insightful overview of the Internet of Things (IoT), emphasizing its role in enabling real-world objects to communicate through networking technologies. IoT integrates wireless sensor networks, artificial intelligence, and cloud computing to boost productivity while minimizing costs and losses. The abstract underscores the importance of GUI applications for user-friendly interaction with IoT systems and the widespread use of RFID for tracking items, especially in supply chain management and inventory tracking. IoT devices equipped with RFID tags are highlighted as integral components of a broader network, with cloud computing offering a scalable infrastructure to manage the substantial data generated by IoT components. Data collection in IoT relies heavily on wireless sensor networks, with data uploaded to the cloud for synchronized analysis. The abstract suggests a comprehensive exploration of IoT applications across various fields, with a focus on smart-enabled applications. Overall, it sets the stage for a detailed examination of IoT's impact and potential in diverse contexts. • Integration of IoT, AI, and web services in agriculture to enhance efficiency, productivity, and sustainability. • Web services by facilitating data exchange, remote monitoring, and cloud-based analytics, allowing farmers to access information and control systems from anywhere. • The integration of these technologies leads to improved resource management, reduced waste, optimized crop yields, and decreased environmental impact. • Discusses challenges such as data privacy and security, the high cost of technology implementation, and the need for technical expertise among farmers. • Ongoing research and development in areas like 5G connectivity, AI-driven automation, and decentralized networks to further enhance smart agriculture and make it accessible to a broader range of farmers and agricultural businesses.

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Institutions

Publication Details

Journal
Environmental and Sustainability Indicators
Published
2025-01-23
DOI
https://doi.org/10.1016/j.indic.2025.100607
Citations
49
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
85.74
Controls
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article

An overview of smart agriculture using internet of things (IoT) and web services

Vijaya Choudhary, Paramita Guha, Giovanni Pau, Sunita Mishra
49 citations
Environmental and Sustainability Indicators
Smart Agriculture and AI
85.74
article

An overview of smart agriculture using internet of things (IoT) and web services

Vijaya Choudhary, Paramita Guha, Giovanni Pau, Sunita Mishra
article en
49 citations

Abstract

The presented work provides an insightful overview of the Internet of Things (IoT), emphasizing its role in enabling real-world objects to communicate through networking technologies. IoT integrates wireless sensor networks, artificial intelligence, and cloud computing to boost productivity while minimizing costs and losses. The abstract underscores the importance of GUI applications for user-friendly interaction with IoT systems and the widespread use of RFID for tracking items, especially in supply chain management and inventory tracking. IoT devices equipped with RFID tags are highlighted as integral components of a broader network, with cloud computing offering a scalable infrastructure to manage the substantial data generated by IoT components. Data collection in IoT relies heavily on wireless sensor networks, with data uploaded to the cloud for synchronized analysis. The abstract suggests a comprehensive exploration of IoT applications across various fields, with a focus on smart-enabled applications. Overall, it sets the stage for a detailed examination of IoT's impact and potential in diverse contexts. • Integration of IoT, AI, and web services in agriculture to enhance efficiency, productivity, and sustainability. • Web services by facilitating data exchange, remote monitoring, and cloud-based analytics, allowing farmers to access information and control systems from anywhere. • The integration of these technologies leads to improved resource management, reduced waste, optimized crop yields, and decreased environmental impact. • Discusses challenges such as data privacy and security, the high cost of technology implementation, and the need for technical expertise among farmers. • Ongoing research and development in areas like 5G connectivity, AI-driven automation, and decentralized networks to further enhance smart agriculture and make it accessible to a broader range of farmers and agricultural businesses.

Environmental and Sustainability IndicatorsVol. 26
Università degli Studi di Enna Kore (IT), Central Scientific Instruments Organisation (IN), Noida International University (IN), CSIR National Physical Laboratory of India (IN), Academy of Scientific and Innovative Research (IN)
Zero hunger
Openalex Percentile: Top 0%
Smart Agriculture and AI
85.74
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