Blockchain and Technologies Matching with the Case of Study of Vegetables Production

Massaro, Alessandro

doi:10.36227/techrxiv.12911321.v1

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…A scalable, modular, low-cost IOT/smart agriculture (SA)-oriented management platform called VegIoT Garden, which is based on commercial-off-the-shelf (COTS) devices, is designed to support farmers in improving the commodities they produce, identifying key issues, and addressing irrigation-related issues, identifying possible correlations between climate characteristics, and this paper presents field productivity and crop health [142]. To study the blockchain and technology that match vegetable production, Massaro et al [143] described the entire scenario and the use of blockchain technology and concluded that the technology and methods used in the literature are suitable for quality traceability. It is also useful to apply other supplies.…”

Section: Vegetablesmentioning

confidence: 99%

Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review

Lv,

Song,

et al. 2023

Agriculture

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In recent years, with the frequent crises of trust in the food industry, food safety issues have become an issue of particular concern to consumers. The traditional agricultural food logistics and transportation model can no longer guarantee the traceability of food safety information, and it is particularly important to establish an effective traceability system. Therefore, a traceability system is applied as a tool to assist in the assurance of food safety and quality, as well as to achieve consumer confidence. Blockchain is a new decentralized infrastructure and distributed computing paradigm that has gradually emerged. Blockchain has the characteristics of decentralization, immutable information and trustworthiness. When blockchain is applied to the traceability system of agricultural products, the quality of agricultural products will be well guaranteed. This article aims to provide a comprehensive review of the recent research efforts on traceability in agricultural products based on blockchain technology. First, the method of content analysis used in this article to sort out the papers is introduced. Second, the background concepts of blockchain and the key technologies are presented. Thirdly, the traceability applications based on blockchain technology for agricultural products are described in detail. Finally, we expand on the current trends and provide new perspectives pertaining to this exciting application of this field.

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Section: Vegetablesmentioning

confidence: 99%

Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review

Lv,

Song,

et al. 2023

Agriculture

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“…Concerning irrigation and FER advances, specific methods can be adopted using DSS models based on data field detection Massaro & Meuli et al, 2018) and data fusion approaches (D' Accolti et al, 2018). Another technology useful for the traceability of field production processes is the blockchain (Massaro & Maritati et al, 2020). The described state of the art, highlights that the FER technologies and approaches can be different.…”

Section: Introductionmentioning

confidence: 99%

DSS fertirrigation system: An Italian case study

Cosoli¹,

Magaletti²,

Leogrande³

et al. 2022

J Food Nut Agri

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The proposed paper deals with a Decision Support System (DSS) conceived for agronomists and farm managers involved in the fertirrigation (FER) process. The DSS has been developed within the Smart District 4.0 (SD 4.0) project, funded with the contribution of the Italian Ministry of Economic Development (MISE), aiming to sustain the digitization process of the Italian Small and Medium Enterprises (SMEs). The DSS is part of an integrated framework, mainly including advanced services for blockchain traceability and agriculture planning, optimizing the cooperation among different actors, such as farmers, agronomists and fertilizer suppliers. The most relevant and challenging part of the platform consists of Machine Learning (ML) supervised and unsupervised algorithms with high performance, to optimize production and quality in viticulture. Specifically, the Probabilistic Neural Network (PNN) model provides the performance about time shortage prediction when compared with other ML algorithm performance. Finally, the clustering k-Means algorithm is applied to extract information about active substances, doses, time of shortage, adversities, and pathogen elements, useful to optimize a FER plan. All the analyzed algorithms are applied to an experimental dataset. The work starts with the design of the processes and of the information flow able to optimize grape supply chain and traceability, and then focuses on data analysis. The data analysis approach is suitable to formulate precision farming rules.

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Blockchain and Technologies Matching with the Case of Study of Vegetables Production

Cited by 2 publications

References 3 publications

Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review

Blockchain-Based Traceability for Agricultural Products: A Systematic Literature Review

DSS fertirrigation system: An Italian case study

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