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AN ESP MESH BASED IOT SYSTEM FOR SMART AGRICULTURE.

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Title: AN ESP MESH BASED IOT SYSTEM FOR SMART AGRICULTURE.
Authors: RAJ, S. DEEPAK1, REDDY, KRUTHIKA R.1, CHINMAYEE, MARLAKUNTA1, K. M., MEGHANA1
Source: i-Manager's Journal on Electrical Engineering. Mar2026, Vol. 19 Issue 3, p81-95. 15p.
Subjects: Mesh networks, Internet of things, Resource allocation, Cloud computing, Wireless sensor networks, Precision farming, Soil quality
Abstract: Smart agriculture increasingly depends on distributed, high-resolution sensing systems capable of capturing real-time soil and environmental dynamics with minimal infrastructure and cost. Conventional wireless sensor networks, however, often face limitations in scalability, energy efficiency, and network robustness, particularly in fragmented agricultural landscapes where connectivity is inconsistent. This work presents an ESP-based mesh IoT architecture designed to enable resilient, self-organizing, and low-cost monitoring of critical agronomic parameters. The system integrates a multi-node mesh network for distributed soil sensing, a gateway-assisted cloud uplink for remote accessibility, and a unified dashboard for visualization, alert generation, and long-term water-footprint assessment. By leveraging a decentralized mesh topology, the framework ensures reliable propagation of sensor data across dynamically changing link conditions, while cloud integration facilitates continuous supervision and early-warning capabilities for irrigation and soil- health anomalies. Experimental evaluation of the prototype demonstrates stable multi-hop communication, consistent sensing performance, and seamless end-to-end data flow from field nodes to the user interface. The results highlight the potential of ESP- based mesh networks as an accessible and scalable digital infrastructure for precision agriculture, supporting improved resource efficiency and informed agronomic decision-making. [ABSTRACT FROM AUTHOR]
Copyright of i-Manager's Journal on Electrical Engineering is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: <searchLink fieldCode="DE" term="%22Mesh+networks%22">Mesh networks</searchLink><br /><searchLink fieldCode="DE" term="%22Internet+of+things%22">Internet of things</searchLink><br /><searchLink fieldCode="DE" term="%22Resource+allocation%22">Resource allocation</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Precision+farming%22">Precision farming</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+quality%22">Soil quality</searchLink>
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  Data: Smart agriculture increasingly depends on distributed, high-resolution sensing systems capable of capturing real-time soil and environmental dynamics with minimal infrastructure and cost. Conventional wireless sensor networks, however, often face limitations in scalability, energy efficiency, and network robustness, particularly in fragmented agricultural landscapes where connectivity is inconsistent. This work presents an ESP-based mesh IoT architecture designed to enable resilient, self-organizing, and low-cost monitoring of critical agronomic parameters. The system integrates a multi-node mesh network for distributed soil sensing, a gateway-assisted cloud uplink for remote accessibility, and a unified dashboard for visualization, alert generation, and long-term water-footprint assessment. By leveraging a decentralized mesh topology, the framework ensures reliable propagation of sensor data across dynamically changing link conditions, while cloud integration facilitates continuous supervision and early-warning capabilities for irrigation and soil- health anomalies. Experimental evaluation of the prototype demonstrates stable multi-hop communication, consistent sensing performance, and seamless end-to-end data flow from field nodes to the user interface. The results highlight the potential of ESP- based mesh networks as an accessible and scalable digital infrastructure for precision agriculture, supporting improved resource efficiency and informed agronomic decision-making. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of i-Manager's Journal on Electrical Engineering is the property of i-manager Publications and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.26634/jee.19.3.1345
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      – Code: eng
        Text: English
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        PageCount: 15
        StartPage: 81
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      – SubjectFull: Mesh networks
        Type: general
      – SubjectFull: Internet of things
        Type: general
      – SubjectFull: Resource allocation
        Type: general
      – SubjectFull: Cloud computing
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      – SubjectFull: Wireless sensor networks
        Type: general
      – SubjectFull: Precision farming
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      – SubjectFull: Soil quality
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      – TitleFull: AN ESP MESH BASED IOT SYSTEM FOR SMART AGRICULTURE.
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              M: 03
              Text: Mar2026
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              Y: 2026
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