Design of Monitoring System for Multilayer Soil Temperature and Moisture Based on WSN

Chen, Ke-Tao; Zhang, Haihui; Wu, Tingting; Jin, Haiyan; Zhai, Changyuan; Wang, Dan

doi:10.1109/wcsn.2014.92

Cited by 34 publications

(14 citation statements)

References 6 publications

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“…The architecture design of the vermiculture smart farming kit is premeditated following the layered proposal and the architecture design for precision agriculture. The software composition divided into layers has claimed to support in many researches [7], [24], [26]. Elijah, Rahman, Orikumhi, Leow, and Hindia have cited that IoT technology consists of a multilayer architecture and devices.…”

Section: Discussionmentioning

confidence: 99%

IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

Rukhiran¹,

Netinant²

2020

TEM Journal

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IoT technology is widely applied to many areas, including agriculture. The smart farming design and implementation deal with farm operations and management effectively. The aim of this research enables supporting a vermiculture smart farming kit based on IoT technology. The layered architecture design is represented to support the deployment of sensors, networks, monitoring systems, data collections, and watering decision system. Information flow diagram is proposed to improve how the web application of our smart kit system can implement based on the system requirements. The evaluations of the smart kit are investigated to deal with consistency and effectiveness comparing between a traditional and the smart kit of earthworm vermicomposting. The gaps of farmers' needs can be satisfied to advance the better solutions of the smart farming kit.

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Section: Discussionmentioning

confidence: 99%

IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

Rukhiran¹,

Netinant²

2020

TEM Journal

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“…• Precision agriculture : is a technology which uses advanced technology to improve crop yield, among them, Wireless Sensor Network (WSN) is the main driver for the development of it [40]. It effectively reduces the potential risks in the production process and helps farmers making accurate and controlled farming practices by deploying a large number of low-power, multi-function, wireless communication sensors in environments (such as fields and open poultry and livestock breeding) and collecting relevant data in agricultural production (such as environment data, crop growth data, livestock health data [41]- [44]). The main modern information technology used in precision agriculture is ''3S'' technology, including Remote Sensing (RS), Geographic Information System (GIS) and Global Positioning System (GPS).…”

Section: Green Iot-based Agriculturementioning

confidence: 99%

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

et al. 2020

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This paper presents research challenges on security and privacy issues in the field of green IoT-based agriculture. We start by describing a four-tier green IoT-based agriculture architecture and summarizing the existing surveys that deal with smart agriculture. Then, we provide a classification of threat models against green IoT-based agriculture into five categories, including, attacks against privacy, authentication, confidentiality, availability, and integrity properties. Moreover, we provide a taxonomy and a side-by-side comparison of the state-of-the-art methods toward secure and privacy-preserving technologies for IoT applications and how they will be adapted for green IoT-based agriculture. In addition, we analyze the privacy-oriented blockchain-based solutions as well as consensus algorithms for IoT applications and how they will be adapted for green IoT-based agriculture. Based on the current survey, we highlight open research challenges and discuss possible future research directions in the security and privacy of green IoT-based agriculture.

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“…Monitoring system for multi-layer soil [120] --System to remotely measure soil's parameters in real-time [78] ----Monitoring system for soil's parameters and nutrient detection (N, P and K) and recommendation for water and fertilisers quantity [121] -Real-time monitoring of citrus soil moisture and nutrients with fertilisation and irrigation decision support [122] --Water Low-cost system for monitoring nitrate concentration in real-time in surface and groundwater [123] --Control Irrigation…”

Section: Soilmentioning

confidence: 99%

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

et al. 2021

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Investment in technological research is imperative to stimulate the development of sustainable solutions for the agricultural sector. Advances in Internet of Things, sensors and sensor networks, robotics, artificial intelligence, big data, cloud computing, etc. foster the transition towards the Agriculture 4.0 era. This fourth revolution is currently seen as a possible solution for improving agricultural growth, ensuring the future needs of the global population in a fair, resilient and sustainable way. In this context, this article aims at characterising the current Agriculture 4.0 landscape. Emerging trends were compiled using a semi-automated process by analysing relevant scientific publications published in the past ten years. Subsequently, a literature review focusing these trends was conducted, with a particular emphasis on their applications in real environments. From the results of the study, some challenges are discussed, as well as opportunities for future research. Finally, a high-level cloud-based IoT architecture is presented, serving as foundation for designing future smart agricultural systems. It is expected that this work will positively impact the research around Agriculture 4.0 systems, providing a clear characterisation of the concept along with guidelines to assist the actors in a successful transition towards the digitalisation of the sector.

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Design of Monitoring System for Multilayer Soil Temperature and Moisture Based on WSN

Cited by 34 publications

References 6 publications

IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

IoT Architecture based on Information Flow Diagram for Vermiculture Smart Farming Kit

Security and Privacy for Green IoT-Based Agriculture: Review, Blockchain Solutions, and Challenges

Characterising the Agriculture 4.0 Landscape—Emerging Trends, Challenges and Opportunities

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