Exploring the Adoption of Precision Agriculture for Irrigation in the Context of Agriculture 4.0: The Key Role of Internet of Things.

Internet of things adoption agriculture 4.0 farmer behavior irrigation operations management precision agriculture satellite sensing technologies weather station

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
11 Dec 2020
Historique:
received: 19 10 2020
revised: 09 11 2020
accepted: 13 11 2020
entrez: 16 12 2020
pubmed: 17 12 2020
medline: 10 4 2021
Statut: epublish

Résumé

In recent years, the concept of Agriculture 4.0 has emerged as an evolution of precision agriculture (PA) through the diffusion of the Internet of things (IoT). There is a perception that the PA adoption is occurring at a slower pace than expected. Little research has been carried out about Agriculture 4.0, as well as to farmer behavior and operations management. This work explores what drives the adoption of PA in the Agriculture 4.0 context, focusing on farmer behavior and operations management. As a result of a multimethod approach, the factors explaining the PA adoption in the Agriculture 4.0 context and a model of irrigation operations management are proposed. Six simulation scenarios are performed to study the relationships among the factors involved in irrigation planning. Empirical findings contribute to a better understanding of what Agriculture 4.0 is and to expand the possibilities of IoT in the PA domain. This work also contributes to the discussion on Agriculture 4.0, thanks to multidisciplinary research bringing together the different perspectives of PA, IoT and operations management. Moreover, this research highlights the key role of IoT, considering the farmer's possible choice to adopt several IoT sensing technologies for data collection.

Identifiants

pubmed: 33322252
pii: s20247091
doi: 10.3390/s20247091
pmc: PMC7763172
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : European Commission in Europe and MCTIC / RNP in Brazil
ID : EUB-02-2017 IoT Pilots

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Auteurs

Sergio Monteleone (S)

School of Business Administration, Centro Universitário FEI, São Paulo 01525-000, Brazil.

Edmilson Alves de Moraes (EA)

School of Business Administration, Centro Universitário FEI, São Paulo 01525-000, Brazil.

Brenno Tondato de Faria (B)

School of Electrical Engineering, Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil.

Plinio Thomaz Aquino Junior (PT)

School of Electrical Engineering, Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil.

Rodrigo Filev Maia (RF)

Centre of Regional and Rural Futures, Deakin University, Hanwood 2680, Australia.

André Torre Neto (AT)

Brazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, Brazil.

Attilio Toscano (A)

Department of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy.

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Classifications MeSH