A cloud-based prototype for the monitoring and predicting of data in precision agriculture based on internet of everything

Kumar, K. Suresh; Balakrishnan, S.; Janet, J.

doi:10.1007/s12652-020-02632-5

Cited by 14 publications

(13 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In response to the urgent need to improve agricultural practices in India, the study reported in [ 123 ] takes advantage of the Internet of Everything (IoE) to gather crucial data on the agricultural habitat, such as soil moisture, humidity, light, and temperature. The IoE system uses sensor nodes capable of transmitting monitoring data to the cloud.…”

Section: Data Collection and Management Techniquesmentioning

confidence: 99%

Smart Sensors and Smart Data for Precision Agriculture: A Review

Soussi,

Zero,

Sacile

et al. 2024

Sensors

View full text Add to dashboard Cite

Precision agriculture, driven by the convergence of smart sensors and advanced technologies, has emerged as a transformative force in modern farming practices. The present review synthesizes insights from a multitude of research papers, exploring the dynamic landscape of precision agriculture. The main focus is on the integration of smart sensors, coupled with technologies such as the Internet of Things (IoT), big data analytics, and Artificial Intelligence (AI). This analysis is set in the context of optimizing crop management, using resources wisely, and promoting sustainability in the agricultural sector. This review aims to provide an in-depth understanding of emerging trends and key developments in the field of precision agriculture. By highlighting the benefits of integrating smart sensors and innovative technologies, it aspires to enlighten farming practitioners, researchers, and policymakers on best practices, current challenges, and prospects. It aims to foster a transition towards more sustainable, efficient, and intelligent farming practices while encouraging the continued adoption and adaptation of new technologies.

show abstract

Section: Data Collection and Management Techniquesmentioning

confidence: 99%

Smart Sensors and Smart Data for Precision Agriculture: A Review

Soussi,

Zero,

Sacile

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…Cloud Computing, Fog, and Edge Collaboration: Several researchers, including [20,[24][25][26][27][28], have made significant contributions to advancing IoE integration in the field of cloud computing and collaboration. These initiatives collectively highlight the crucial role that cloud computing plays in the Internet of Everything (IoE) and its potential to offer useful services to end users.…”

Section: Rq1: To Which Domains Has the Ioe Been Heavily Applied?mentioning

confidence: 99%

“…The Agriculture Domain: In the domain of agriculture, researchers [27,57] have made significant contributions, with IoE technologies representing 8% of their collective efforts to enhance agricultural best practices.…”

Section: Rq1: To Which Domains Has the Ioe Been Heavily Applied?mentioning

confidence: 99%

“…When evaluating the assessment of companies operating within the IoE industry, the predominant issue revolves around substantial uncertainty [51]. Critical concerns in the IoE domain include user consent and data security, encompassing mobile devices and diverse service providers [27,58]. In the IoE ecosystem, the majority of "things" consist of low-power, low-performance devices.…”

Section: Digital Marketing and Blockchainmentioning

confidence: 99%

See 1 more Smart Citation

A Systematic Mapping: Exploring Internet of Everything Technologies and Innovations

Mohd Ali,

Md Yunus,

Mohamed

et al. 2023

Symmetry

View full text Add to dashboard Cite

The Internet of Everything (IoE) represents a paradigm shift in the world of connectivity. While the Internet of Things (IoT) initiated the era of interconnected devices, the IoE takes this concept to new heights by interlinking objects, individuals, data, and processes. Symmetry in IoE innovation and technology is essential for creating a harmonious and efficient ecosystem to ensure that the benefits are accessible to a broad spectrum of society while minimizing potential drawbacks. This comprehensive review paper explores the multifaceted landscape of the IoE, delving into its core concepts, enabling technologies, real-world applications, and the intricate web of challenges it presents. A focal point of this review is the diverse array of real-world applications spanning healthcare, smart cities, industry 4.0, agriculture, and sustainability. Previous works and examples illustrate how the IoE reshapes these domains, leading to greater efficiency, sustainability, and improved decision making. However, the transformative power of the IoE is accompanied by a host of challenges, including security and privacy concerns, interoperability issues, and the ethical implications of ubiquitous connectivity. These challenges are dissected in order to comprehensively understand the obstacles and potential solutions in the IoE landscape. As we stand on the cusp of an IoE-driven future, this review paper serves as a valuable resource for researchers, policy makers, and industry professionals seeking to navigate the complexities of this emerging paradigm. By illuminating the intricacies of the IoE, this review fosters a deeper appreciation for the transformative potential and the multifaceted challenges that lie ahead in the Internet of Everything era.

show abstract

“…Legume crops, with their essential function in global agriculture, present a unique vision. Because legumes such as peanuts, lentils, soybeans and mungbeans-are essential plant-based protein sources, their production is essential to human nutrition (Kumar et al, 2020;Rawal, 2017). But because of their extremely delicate water needs, conventional farming methods often lead to less-than-ideal water management, risking not just the sustainability of legume cultivation but also food security (Shah et al, 2017;El-Nakhlawy et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

AI-Enhanced Precision Irrigation in Legume Farming: Optimizing Water Use Efficiency

Kim,

AlZubi

2024

View full text Add to dashboard Cite

Background: Cultivating legumes, a significant facet of sustainable agriculture, consistently faces challenges in managing water resources. The present study aimed to explore the integration of artificial intelligence (AI) to enhance water use efficiency in legume farming with the potential to reduce the water shortage problem. In this work, Peas as a specific legume is chosen. In Uttar Pradesh, India, precision irrigation was combined with artificial intelligence (AI) to maximize crop productivity, support sustainable farming methods and solve the problem of water constraints. AI-enabled precision irrigation offers significant advantages like precise allocation of water resources, enhanced crop yield, optimal water consumption, cost-effectiveness and a reduction of greenhouse gas emissions. Methods: By employing a systematic methodology, including data collection, AI modeling and thorough data analysis, this work reveals useful findings. The comparison between traditional and AI-driven precision irrigation shows that artificial intelligence delivers enhanced real-time decision-making capabilities. It optimally tailors’ irrigation schedules and water distribution, considering weather, soil conditions and crop requirements. The achieved water savings, combined with improved legume yields, have significant implications for agricultural techniques with limited resources. Result: Because of a changing climate and decreasing water supplies, farmers, legislators and other stakeholders can greatly benefit from the suggestions that were obtained from the findings, which provide practical direction. This research serves as a milestone in the integration of AI for precision agriculture, creating a way for a more sustainable and productive future in legume farming.

show abstract

A cloud-based prototype for the monitoring and predicting of data in precision agriculture based on internet of everything

Cited by 14 publications

References 11 publications

Smart Sensors and Smart Data for Precision Agriculture: A Review

Smart Sensors and Smart Data for Precision Agriculture: A Review

A Systematic Mapping: Exploring Internet of Everything Technologies and Innovations

AI-Enhanced Precision Irrigation in Legume Farming: Optimizing Water Use Efficiency

Contact Info

Product

Resources

About