Evidence map›Paper›PMID 33322252›Full record

ArticleSensors (Basel, Switzerland)2020

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

Sergio Monteleone, Edmilson Alves de Moraes, Brenno Tondato de Faria, Plinio Thomaz Aquino Junior, Rodrigo Filev Maia, André Torre Neto, Attilio Toscano

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sergio MonteleoneSchool of Business Administration, Centro Universitário FEI, São Paulo 01525-000, Brazil.
Edmilson Alves de MoraesSchool of Business Administration, Centro Universitário FEI, São Paulo 01525-000, Brazil.
Brenno Tondato de FariaSchool of Electrical Engineering, Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil.ORCID 0000-0002-4680-4536
Plinio Thomaz Aquino JuniorSchool of Electrical Engineering, Centro Universitário FEI, São Bernardo do Campo 09850-901, Brazil.ORCID 0000-0002-5100-7443
Rodrigo Filev MaiaCentre of Regional and Rural Futures, Deakin University, Hanwood 2680, Australia.
André Torre NetoBrazilian Agricultural Research Corporation (EMBRAPA), São Carlos 13560-970, Brazil.
Attilio ToscanoDepartment of Agricultural and Food Sciences (DISTAL), University of Bologna, 40127 Bologna, Italy.ORCID 0000-0001-5477-0623

Funding

European Commission in Europe and MCTIC / RNP in Brazil EUB-02-2017 IoT Pilots
6 · The paper itself

Abstract

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.

Indexed as

Computer Communication NetworksInternet of ThingsAgricultureData CollectionWireless Technologyadoptionagriculture 4.0farmer behaviorInternet of thingsirrigationoperations managementprecision agriculturesatellitesensing technologiesweather station

Identifiers

PMID33322252
PMCPMC7763172

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.