Blockchain in Agriculture: A PESTELS Analysis

Ordóñez, Javier; Alexopoulos, Angelos; Κούτρας, Κωνσταντίνος; Καλογεράς, Αθανάσιος; Stefanidis, Kyriakos; Martos, Vanessa

doi:10.1109/access.2023.3295889

Cited by 9 publications

(3 citation statements)

References 156 publications

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“…Blockchain technology further provides support for AI by facilitating integrated data management in a secure and fast manner, specifically when there is a data drive from multiple farm resources like underground sensors, weather stations, drones, irrigations systems, and related platforms. Supply chain management resources could be substantially supported by blockchain in agricultural context ( Singh and Singh, 2020 ; Ordóñez et al, 2023 ). Promising results on Indian diary supply chain management were reported in a study where authors investigated the role of blockchain, distribution, and inventory management ( Kumar and Kumar, 2023 ).…”

Section: Applications Of Ai In Agriculturementioning

confidence: 99%

AI can empower agriculture for global food security: challenges and prospects in developing nations

Ahmad,

Liew,

Venturini

et al. 2024

Front. Artif. Intell.

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Food and nutrition are a steadfast essential to all living organisms. With specific reference to humans, the sufficient and efficient supply of food is a challenge as the world population continues to grow. Artificial Intelligence (AI) could be identified as a plausible technology in this 5th industrial revolution in bringing us closer to achieving zero hunger by 2030—Goal 2 of the United Nations Sustainable Development Goals (UNSDG). This goal cannot be achieved unless the digital divide among developed and underdeveloped countries is addressed. Nevertheless, developing and underdeveloped regions fall behind in economic resources; however, they harbor untapped potential to effectively address the impending demands posed by the soaring world population. Therefore, this study explores the in-depth potential of AI in the agriculture sector for developing and under-developed countries. Similarly, it aims to emphasize the proven efficiency and spin-off applications of AI in the advancement of agriculture. Currently, AI is being utilized in various spheres of agriculture, including but not limited to crop surveillance, irrigation management, disease identification, fertilization practices, task automation, image manipulation, data processing, yield forecasting, supply chain optimization, implementation of decision support system (DSS), weed control, and the enhancement of resource utilization. Whereas AI supports food safety and security by ensuring higher crop yields that are acquired by harnessing the potential of multi-temporal remote sensing (RS) techniques to accurately discern diverse crop phenotypes, monitor land cover dynamics, assess variations in soil organic matter, predict soil moisture levels, conduct plant biomass modeling, and enable comprehensive crop monitoring. The present study identifies various challenges, including financial, infrastructure, experts, data availability, customization, regulatory framework, cultural norms and attitudes, access to market, and interdisciplinary collaboration, in the adoption of AI for developing nations with their subsequent remedies. The identification of challenges and opportunities in the implementation of AI could ignite further research and actions in these regions; thereby supporting sustainable development.

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Section: Applications Of Ai In Agriculturementioning

confidence: 99%

AI can empower agriculture for global food security: challenges and prospects in developing nations

Ahmad,

Liew,

Venturini

et al. 2024

Front. Artif. Intell.

Self Cite

View full text Add to dashboard Cite

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“…This process includes activities such as cultivation, harvesting, processing, storage, transportation, and sale, ensuring the efficient delivery of fresh food and agricultural products through the development of advanced information systems that support sustainable agriculture. Technologies like Artificial Intelligence (AI), Machine Learning (ML), and Blockchain have emerged as crucial tools to document and assist agricultural processes (Ordonez et al, 2023). In particular, Blockchain, introduced in 2009 alongside the creation of Bitcoin by Satoshi Nakamoto, is a decentralized network where data is stored and shared among nodes, eliminating central authority (Treiblmaier, 2019).…”

Section: Introductionmentioning

confidence: 99%

Blockchain and agricultural sustainability in South America: a systematic review

Ordoñez,

Gonzales,

Corrales

2024

Front. Sustain. Food Syst.

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In its fundamental role for food security in South America, sustainable agriculture faces the challenge of addressing the current and future needs of the region while ensuring profitability, environmental health, and social and economic equity. Currently, as support for sustainable agriculture, a significant transformation is observed in the agricultural landscape due to the development of advanced information systems. Technologies such as Artificial Intelligence, Machine Learning, and Blockchain have emerged as crucial tools to document and support sustainable agricultural processes. Blockchain technology has proven to be highly beneficial for sustainable agriculture, effectively addressing a significant issue in the agricultural supply chain by providing solutions for transparent and traceable processes. This technology solves the problem by establishing a permanent and open record of all transactions and activities in the supply chain, allowing consumers and stakeholders to track the origin and quality of agricultural products, thereby fostering trust and fair trade. For this reason, this article conducted a review of the current state of blockchain technology in sustainable agriculture, aimed at researchers and farmers in South America. The advantages and disadvantages of blockchain technology were identified, focusing on technologies developed and tested during the design and pilot phases. The PRISMA methodology was used in this review, and documents were searched in Scopus and Web of Science databases. Six hundred and fifty-six articles were identified and selected (2018–2023 period), but only 104 met the eligibility and inclusion criteria. The findings indicate a 30% increase in the adoption of decentralized applications (DAPs) powered by blockchain in the agribusiness sector compared to the previous year. After a thorough analysis, it has been determined that smart contracts, non-fungible tokens for digital assets, and blockchain oracles will provide promising solutions for sustainable agricultural technology in the future.

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“…Service-oriented computing and service provisioning are crosscutting concepts with highest relevance for all business domains [25], [26], [27], and, wherever services are provided, proper SLAs are a critical success factor. Similarly, in the last decade, blockchain technology has been successfully applied in countless projects from all kinds of domains, ranging from payment services [14], [28] over financial services [29], [30], insurances [31], [32], real estate [33], [34], manufacturing [35], [36], [37], agriculture [24], [38], [39], food production [40], [41], logistics [42], [43], healthcare [44], [45], tourism [22], [46], to e-government [7], [11], [47], [48], public administration [49], [50], [51], and e-court [52], [53], [54] -just to name a few. Therefore, we argue that PenChain is relevant to a maximally wide range of domains.…”

Section: Introductionmentioning

confidence: 99%