Smart Agriculture and Food Industry with Blockchain and Artificial Intelligence

Ahamed, N. Nasurudeen; Vignesh, R.

doi:10.3844/jcssp.2022.1.17

Cited by 22 publications

(6 citation statements)

References 23 publications

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“…Finally, supply chain management 5.0 and new information-based systems based on traceability are reported. The former proposes a new supply chain solution based on driverless autonomous vehicles for transporting and smart contracts with face recognition, while the second treat a new system based on recommended guidelines and documentation requirements for decision-making processes to ensure traceability along the chain (Ahamed and Vignesh, 2022;Li et al, 2017a). However, an interesting consideration is that all four new The link between problems and applications solutions are inherent to the food supply chain and to the need to reduce complexity through technology integration.…”

Section: Resultsmentioning

confidence: 99%

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Cavazza,

Dal Mas,

Paoloni

et al. 2023

BFJ

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PurposeArtificial Intelligence (AI) is a growing technology impacting several business fields. The agricultural sector is facing several challenges, which may be supported by the use of such a new advanced technology. The aim of the paper is to map the state-of-the-art of AI applications in agriculture, their advantages, barriers, implications and the ability to lead to new business models, depicting a future research agenda.Design/methodology/approachA structured literature review has been conducted, and 37 contributions have been analyzed and coded using a detailed research framework.FindingsFindings underline the multiple uses and advantages of AI in agriculture and the potential impacts for farmers and entrepreneurs, even from a sustainability perspective. Several applications and algorithms are being developed and tested, but many barriers arise, starting from the lack of understanding by farmers and the need for global investments. A collaboration between scholars and practitioners is advocated to share best practices and lead to practical solutions and policies. The promising topic of new business models is still under-investigated and deserves more attention from scholars and practitioners.Originality/valueThe paper reports the state-of-the-art of AI in agriculture and its impact on the development of new business models. Several new research avenues have been identified.

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Section: Resultsmentioning

confidence: 99%

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Cavazza,

Dal Mas,

Paoloni

et al. 2023

BFJ

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show abstract

“…Smart horticulture incorporates a variety of technologies, devices, protocols, and computational models to enhance farming processes. Blockchain, Big Data, artificial intelligence, cloud computing, and edge processing provide capabilities and solutions for storing, analyzing, and managing the vast data generated by components [74].…”

Section: Cloud Storage Layermentioning

confidence: 99%

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Varella,

Oliveira Neto,

Stefani

et al. 2024

Sustainability

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Innovation has been the transforming tool of precision agriculture as a response to population growth and the demand for more food with quality, less waste, food security, and sustainable management of environmental resources. The challenges are to increase the productivity of cultivated areas, both for current and future areas, to manage the use of potable water, scarce in many regions, to keep the soil fertile, and to reduce waste through reuse, optimization, resource sharing, and operational and strategic management based on accurate information of planting, harvesting, and management of environmental conditions, which are also objectives of the Circular Economy. Therefore, using Industry 4.0 technologies in agriculture becomes fundamental to facing such challenges. This paper presents a systematic literature review on Industry 4.0 technologies adopted in agriculture for sustainable development, considering environmental, economic, and social benefits. The research pointed to the use of IoT in irrigation control systems by sending automatic commands, monitoring soil and weather conditions, in the use of machinery with some automation features and in cloud data storage systems, and with the use of Big Data analytical tools, with access by mobile devices, these uses contribute to operational and strategic decision making in the management of planting and harvesting. However, the literature review did not find a technological architecture for Integrated Services in Agriculture 4.0. Thus, this paper proposes a Service Architecture that enables the promotion of a Circular Economy in Agriculture 4.0. The contribution of this article to the theory is in the expansion of knowledge of the use of technologies in Agriculture 4.0. In terms of practice, this article provides an Integrated Service Architecture so that new products can be developed for Agriculture 4.0 and thus contribute to society in reducing food insecurity, generating environmental, economic, and social benefits, and promoting the Circular Economy in Agriculture 4.0.

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“…[ [70][71][72]78,82] The main challenges are process orientation, standardization, data communication and security, and knowledge transfer. Many new technologies are still in the testing phase, requiring simultaneous engineering practices for evaluations.…”

Section: Articlesmentioning

confidence: 99%

“…The main obstacle is the investment in performing preventive tests with these technologies to verify if they will generate positive results and avoid future problems. On the other hand, software development will facilitate the application, intelligent control, and automation of the processes [70][71][72]78,82], generating results to be shared and replicated according to the concept of open innovation.…”

Section: Articlesmentioning

confidence: 99%

Open Innovation in Agribusiness: Barriers and Challenges in the Transition to Agriculture 4.0

et al. 2023

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Industry 4.0 digital technologies in agribusiness will enable traditional farming systems to migrate to Agriculture 4.0. Open innovation emerges as an enabler for implementing these technologies and increased sector competitiveness. However, there are still doubts and questions about how technologies and open innovation relate to and will drive Agriculture 4.0. This study identified which digital technologies of Industry 4.0 have more adherence to agribusiness, what the barriers and facilitators for using these technologies are, and how open innovation can increase the competitiveness of agribusiness. The results show that of the Industry 4.0 technologies related to agribusiness, the Internet of Things (IoT) is the most prominent. The main barriers are the users’ need for more knowledge and advanced skills, which evidences the need for investment in training operators. Among the facilitators stand the pre-existence of several technologies, which bring with them already defined basic structures, control of the technology, and communication between systems. To overcome the barriers and enhance the migration to Agriculture 4.0, developing devices, tools, systems, software, and machines is essential. More stakeholders, managers, and practitioners may share such opportunities for innovation in agribusiness through the concept of Open Innovation. To benefit from it, facilitators, managers, and practitioners of agribusiness should search for alternatives for their problems with engineering solutions providers.

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Smart Agriculture and Food Industry with Blockchain and Artificial Intelligence

Cited by 22 publications

References 23 publications

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Artificial intelligence and new business models in agriculture: a structured literature review and future research agenda

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Open Innovation in Agribusiness: Barriers and Challenges in the Transition to Agriculture 4.0

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