IoT and 5G technology in agriculture

Khujamatov, Khalimjon; Toshtemirov, T K; Lazarev, Amir; Raximjonov, Q.T.

doi:10.1109/icisct52966.2021.9670037

Cited by 17 publications

(7 citation statements)

References 29 publications

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“…However, previous studies have revealed limited research on the comprehensive impact of 5G technology on the agriculture sector in Kedah. While some studies have explored specific aspects of 5G technology in agriculture, such as precision farming [7], a holistic understanding of its effects on Kedah's unique agricultural landscape is still lacking. This research gap underscores the need for a specific study in Kedah to examine the potential benefits, challenges, and strategies for the successful integration of 5G technology into agricultural practices [8].…”

Section: Literature Reviewmentioning

confidence: 99%

“…Despite the potential advantages of 5G technology in agriculture, there is a lack of comprehensive research on its overall impact on Kedah's agricultural sector [2]. While various studies [1], [6], [7], [8] have highlighted specific applications or components of 5G technology in agriculture, such as precision farming; there remains a dearth of research that systematically examines its effects on all facets of the agricultural economy in Kedah. This knowledge gap hampers informed decisionmaking for policymakers, farmers, and technology providers.…”

Section: Literature Reviewmentioning

confidence: 99%

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Demographic Disparities in 5G Technology Adoption among Paddy Farmers in Kedah: A Comprehensive Study

Nurul Hazwani Abdul Hamid,

Noormaizatul Akmar Ishak,

Ahmad Tajudin Baharin

et al. 2024

ASET

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This research aims to investigate the adoption of 5G technology within the agricultural sector, specifically among rice farmers in Kedah, Malaysia, and understand the demographic disparities in 5G adoption. It also addresses the challenge of equitable 5G technology adoption and explores how demographic factors such as gender, age, ethnicity, and income levels influence adoption patterns. A mixed-methods approach, comprising surveys, interviews, and field observations, is employed to collect data from a diverse sample of farmers. The study utilizes theoretical frameworks related to automation, productivity, and connectivity to analyze the impact of 5G technology on agricultural practices. Only descriptive analysis of demographic characteristics will be reported after the survey is conducted using a questionnaire through the What'sApp application. The research reveals significant gender imbalances in adoption rates, with implications for equitable access to technological advancements. It also highlights the influence of age and income on adoption patterns. The study underscores the importance of tailored strategies to ensure the adoption of inclusive 5G technology in the agricultural sector.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Demographic Disparities in 5G Technology Adoption among Paddy Farmers in Kedah: A Comprehensive Study

Nurul Hazwani Abdul Hamid,

Noormaizatul Akmar Ishak,

Ahmad Tajudin Baharin

et al. 2024

ASET

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“…c: SMART AGRICULTURE BUSINESS MODEL 5G technologies will also provide solutions for smart agriculture systems in countries whose economies depend on agriculture. IoT based on 5G will be the key driver to achieve smart agriculture via the mMTC service class [160]. For instance, multiple wireless sensors with 5G connectivity deployed in specific crop fields can help optimize the soil moisture content and ensure the efficient use of water and fertilizers through customized applications [161].…”

Section: ) Who?mentioning

confidence: 99%

5G Business Models for Mobile Network Operators—A Survey

2022

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Emerging Fifth-generation (5G) mobile networks and associated technologies are expected to provide multi-service wireless applications with diverse specifications intended to address not only consumer-based smartphone applications, but also the needs of various vertical industry markets (e.g., healthcare, education, energy, mining, agriculture, manufacturing, and so forth). This paper extends 5G networks' technology orientation towards attaining economic value for all key 5G stakeholders, including customers, mobile network operators (MNOs), equipment vendors, public institutions, private enterprises, digital business start-ups and other third parties. Although several surveys and tutorials have discussed business models in connection with 5G networks, there is no comprehensive study on business models for emerging 5G networks from the MNO's perspective. In this survey article, we present and investigate key advances on business models for 5G networks and 5G MNOs in particular, from industry, use cases and research community perspectives. The paper focuses the theoretical business model concept from both strategic management and technological innovation perspectives. Thereafter, we discuss conventional business models for MNOs before presenting particular disruptive business models which can be considered for rolling out 5G networks with an aim to improve business efficiency. Additionally, the paper explores the emerging network deployment concept of private 5G networks and their related business models. Finally, we present some of the open research challenges and provide possible guidelines for implementing 5G business models based on various countries' socio-economic status and relevant 5G use cases applicable in a specific context of emerging economies.INDEX TERMS 5G, business model, business model innovation, disruptive business model, mobile network operators, private 5G networks. I. INTRODUCTION 21The Fifth-generation (5G) of mobile networks have been 22 defined by the International Telecommunication Union (ITU) 23 via its Radio-communication sector (ITU-R) under the 24 umbrella name ''International Mobile Telecommunication-25 2020'' (IMT-2020) to support multi-service wireless appli-26 cations by offering: higher data rates (20 gigabits/second 27 peak data rate), a huge number of wireless connections 28 (1 million connections per square kilometer), higher spec-29 tral efficiency (3 times higher than 4G networks), improved 30 energy efficiency (100 times higher than 4G networks) and 31 (e.g., Advanced Mobile Phone System (AMPS) and Total 46 Access Communication System (TACS)); Second-generation 47 (2G) digital systems (e.g., Global System for Mobile Com-48 munication (GSM)); Third-generation (3G) digital sys-49 tems (e.g., Universal Mobile Telecommunication System 50 (UMTS)); Fourth-generation (4G) digital systems (e.g., Long 51 Term Evolution (LTE) -IMT-Advanced); and emerging 5G 52 digital systems (e.g., New Radio) [4]. Fig. 2 depicts the 53 evolution of wireless cellular networks.54 A. MOTIVATION 55 With...

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“…Precision agriculture is a concept based on monitoring, measurement, and decisionmaking strategies to optimize the decision support for farm management [1]. Due to recent advances in sensors [2], communication [3], and information processing technologies [4], automated robotic systems are playing an essential role in agricultural environments for sensing [5], inspection [6], pest control [7], and harvesting [8], among others. An interesting review regarding the application of sensors and actuators in agricultural robots can be found in the study by Xie et al [2].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

et al. 2023

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The recent advances in precision agriculture are due to the emergence of modern robotics systems. For instance, unmanned aerial systems (UASs) give new possibilities that advance the solution of existing problems in this area in many different aspects. The reason is due to these platforms’ ability to perform activities at varying levels of complexity. Therefore, this research presents a multiple-cooperative robot solution for UAS and unmanned ground vehicle (UGV) systems for their joint inspection of olive grove inspect traps. This work evaluated the UAS and UGV vision-based navigation based on a yellow fly trap fixed in the trees to provide visual position data using the You Only Look Once (YOLO) algorithms. The experimental setup evaluated the fuzzy control algorithm applied to the UAS to make it reach the trap efficiently. Experimental tests were conducted in a realistic simulation environment using a robot operating system (ROS) and CoppeliaSim platforms to verify the methodology’s performance, and all tests considered specific real-world environmental conditions. A search and landing algorithm based on augmented reality tag (AR-Tag) visual processing was evaluated to allow for the return and landing of the UAS to the UGV base. The outcomes obtained in this work demonstrate the robustness and feasibility of the multiple-cooperative robot architecture for UGVs and UASs applied in the olive inspection scenario.

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IoT and 5G technology in agriculture

Cited by 17 publications

References 29 publications

Demographic Disparities in 5G Technology Adoption among Paddy Farmers in Kedah: A Comprehensive Study

Demographic Disparities in 5G Technology Adoption among Paddy Farmers in Kedah: A Comprehensive Study

5G Business Models for Mobile Network Operators—A Survey

Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

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