Fresh Fruit Supply Chain Sensing and Transaction Using IoT

Elavarasi, G.; Murugaboopathi, G.; Kathirvel, S.

doi:10.1109/incos45849.2019.8951326

Cited by 10 publications

(7 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, various barriers were identified that affect IoT adoption at the retail level in the Indian context. Elavarasi et al (2019) reduced the fresh fruits spoilage and wastage using IoT, which continuously monitors the produce. Tracking fruit quality throughout the process was done by using contact and non-contact sensors and smart logistics usage.…”

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

Dadi

Nikhil

Mor

et al. 2021

Production Engineering Archives

View full text Add to dashboard Cite

The agri-food sector contributes significantly to economic and social advancements globally despite numerous challenges such as food safety and security, demand and supply gaps, product quality, traceability, etc. Digital technologies offer effective and sustainable ways to these challenges through reduced human interference and improved data-accuracy. Innovations led by digital transformations in the agri-food supply chains (AFSCs) are the main aim of ‘Agri-Food 4.0’. This brings significant transformations in the agri-food sector by reducing food wastage, real-time product monitoring, reducing scalability issues, etc. This paper presents a systematic review of the innovations in the agri-food for digital technologies such as internet-of-things, artificial intelligence, big data, RFID, robotics, block-chain technology, etc. The employment of these technologies from the ‘farm to fork’ along AFSC emphasizes a review of 159 articles solicited from different sources. This paper also highlights digitization in developing smart, sensible, and sustainable agri-food supply chain systems.

show abstract

Section: Internet Of Things (Iot)mentioning

confidence: 99%

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

Dadi

Nikhil

Mor

et al. 2021

Production Engineering Archives

View full text Add to dashboard Cite

show abstract

“…The Network Span of data integration moves from the single actor to the entire network. A single actor span is mainly associated with specific 4.0 software applications, such as last-mile vehicle routing navigation software (Bibby and Dehe 2018;van Lopik et al 2020;Su and Fan 2020) or applications used to monitor product quality during delivery (Teucke et al 2018;La Scalia et al 2016;Elavarasi, Murugaboopathi and Kathirvel 2019). Actor integration extends across three further groups.…”

Section: Level Of Automation Frequency Of Acquisition Level Of Autonomymentioning

confidence: 99%

“…The Decision Level process dimension includes two configuration options. The first, centralized decision level, means that decisions take place at one central node, usually hosted by the company owning the solution (Luo and Fu 2017;Elavarasi, Murugaboopathi and Kathirvel 2019;Su and Fan 2020). We found fewer articles covering the second option, decentralized decision level, which can include decisions taken by different supply chain actors in a distributed way (e.g.…”

Section: Level Of Automation Frequency Of Acquisition Level Of Autonomymentioning

confidence: 99%

“…Monitoring is the base for decision making because it provides the means to understand the transportation process status. Monitoring can include the vehicles' position (M'hand et al 2019;Su and Fan 2020), product quality during delivery (Luo and Fu 2017;Teucke et al 2018;Ben-Daya, Hassini and Bahroun 2019;Elavarasi, Murugaboopathi and Kathirvel 2019) and driver monitoring, including the driver's health and driving behaviour (de Vass, Shee and Miah 2020; Song et al 2021). Execution decisions about the transportation process are observed mostly in vehicle routing problems.…”

Section: Level Of Automation Frequency Of Acquisition Level Of Autonomymentioning

confidence: 99%

See 1 more Smart Citation

Empowering freight transportation through Logistics 4.0: a maturity model for value creation

Modica

Colicchia

Tappia

2021

Production Planning & Control

View full text Add to dashboard Cite

Logistics 4.0 is a recognized lever for improving efficiency, effectiveness and sustainability in logistics processes. Of these, the increasingly complex area of transport plays a key role in companies, as it directly impacts costs and service level. This paper investigates how Logistics 4.0 affects the design and configuration of the transportation process, so that companies can exploit the related benefits and create value. Using a systematic literature review, this study provides a framework for Logistics 4.0 in transportation, which includes the process dimensions to be taken into account when designing such a process. A maturity model complements the framework, which presents the configuration options for each process dimension in an evolutionary path from low to high implementation level. This paper is original in that it takes a novel process perspective, crucial for supporting the implementation of Logistics 4.0 in transportation, and discusses the associated opportunities for companies.

show abstract

“…The Internet of things (IoT) helps to acquire information from fruit detection terminals in orchards, and evaluate the fruit maturity. Meanwhile, image recognition can determine the size and position fruits [10][11][12][13][14]. The advancement of the two techniques makes the monitoring of fruit growth and insect attack more intelligent and automatic in modern agriculture.…”

Section: Introductionmentioning

confidence: 99%

Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things

Chen¹,

Tang²,

Xi³

et al. 2021

View full text Add to dashboard Cite

The accurate judgement of fruit maturity is significant for modern agriculture. At present, few scholars have monitored and recognized fruit maturity based on the Internet of things (IoT) and image recognition technology. Therefore, this paper explores the image recognition of fruit maturity in the context of agricultural Internet of things (IoT). Firstly, the single shot multi-box detection (SSD) algorithm was improved for fruit recognition and positioning, and used to determine the size and position the fruits to be recognized. Next, an image fusion algorithm was designed based on improved Laplacian pyramid, which effectively compresses the large fruit monitoring images shot in the same scene. The proposed algorithm was proved feasible and effective through experiments.

show abstract

Fresh Fruit Supply Chain Sensing and Transaction Using IoT

Cited by 10 publications

References 5 publications

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

Agri-Food 4.0 and Innovations: Revamping the Supply Chain Operations

Empowering freight transportation through Logistics 4.0: a maturity model for value creation

Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things

Contact Info

Product

Resources

About