A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0

Rabhi, Loubna; Jabir, Brahim; Falih, Noureddine; Afraites, Lekbir; Bouikhalene, Belaid

doi:10.7160/aol.2023.150208

Cited by 3 publications

(1 citation statement)

References 21 publications

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“…The Agriculture 4.0 revolution is an opportunity for farmers to meet the challenges in food production and enable the creation of added value by combining innovative technologies: precision agriculture, information and communication technology, robotics, and Big Data [34].…”

Section: Introductionmentioning

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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Section: Introductionmentioning

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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Change Management in Agriculture 4.0: SAP-LAP Model in Support of Sustainable Development and Food Security

Burkhanov,

Sozinova,

Tyurina

et al. 2024

Glob J Flex Syst Manag

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Digital transformation metamodel in smart farming: Crop classification prediction based on recurrent neural network

Rabhi,

Jabir,

Falih

et al. 2024

Foods and Raw Materials

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Agriculture 4.0 is an opportunity for farmers to meet the current challenges in food production. It has become necessary to adopt a set of agricultural practices based on advanced technologies. Agriculture 4.0 enables farms to create added value by combining innovative technologies, such as precision agriculture, information and communication technology, robotics, and Big Data. As an enterprise, a connected farm is highly sensitive to strategic changes in organizational structures, objectives, modified variety, new business objects, processes, etc. To control the farm’s information system strategically, we proposed a metamodel based on the ISO/IS 19440 standard, where we added some new constructs relating to advanced digital technologies for smart and connected agriculture. We applied the proposed metamodel to the crop classification prediction process. This involved using machine learning methods such as recurrent neural networks to predict the type of crop being grown in a given agricultural area. Our research bridges farming with modern technology through our metamodel for a connected farm, promoting sustainability and efficiency. Furthermore, our crop classification study demonstrates the power of advanced machine learning, guided by our metamodel, in accurately predicting crop conditions, emphasizing its potential for crop management and food security. In essence, our work advances the transformative role of digital agriculture in modern farming.

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A Connected farm Metamodeling Using Advanced Information Technologies for an Agriculture 4.0

Cited by 3 publications

References 21 publications

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Integrated Service Architecture to Promote the Circular Economy in Agriculture 4.0

Change Management in Agriculture 4.0: SAP-LAP Model in Support of Sustainable Development and Food Security

Digital transformation metamodel in smart farming: Crop classification prediction based on recurrent neural network

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