Critical Success Factors for the Adoption of Decision Tools in IPM

The rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of complexity of the decision processes linked t...

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Main Authors: Vittorio Rossi, Giorgio Sperandio, Tito Caffi, Anna Simonetto, Gianni Gilioli
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Agronomy
Subjects:
Online Access:https://www.mdpi.com/2073-4395/9/11/710
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spelling doaj-e362dfc1859b4c248264fa5a981cc63f2021-04-02T03:54:36ZengMDPI AGAgronomy2073-43952019-11-0191171010.3390/agronomy9110710agronomy9110710Critical Success Factors for the Adoption of Decision Tools in IPMVittorio Rossi0Giorgio Sperandio1Tito Caffi2Anna Simonetto3Gianni Gilioli4Department of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, ItalyDepartment of Molecular and Translational Medicine, Università di Brescia, Viale Europa, 11, 25123 Brescia, ItalyDepartment of Sustainable Crop Production, Università Cattolica del Sacro Cuore, Via Emilia Parmense, 84, 29122 Piacenza, ItalyDepartment of Molecular and Translational Medicine, Università di Brescia, Viale Europa, 11, 25123 Brescia, ItalyDepartment of Molecular and Translational Medicine, Università di Brescia, Viale Europa, 11, 25123 Brescia, ItalyThe rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of complexity of the decision processes linked to IPM requires careful evaluations, both economic and environmental, considering benefits and costs associated with a management action. Plant protection models and other decision tools (DTs) have assumed a key role in supporting decision-making process in pest management. The advantages of using DTs in IPM are linked to their capacity to process and analyze complex information and to provide outputs supporting the decision-making process. Nowadays, several DTs have been developed, tackling different issues, and have been applied in different climatic conditions and agricultural contexts. However, their use in crop management is restricted to only certain areas and/or to a limited group of users. In this paper, we review the current state-of-the-art related to DTs for IPM, investigate the main modelling approaches used, and the different fields of application. We also identify key drivers influencing their adoption and provide a set of critical success factors to guide the development and facilitate the adoption of DTs in crop protection.https://www.mdpi.com/2073-4395/9/11/710decision toolsintegrated pest managementdecision support systemspest managementcrop protection
collection DOAJ
language English
format Article
sources DOAJ
author Vittorio Rossi
Giorgio Sperandio
Tito Caffi
Anna Simonetto
Gianni Gilioli
spellingShingle Vittorio Rossi
Giorgio Sperandio
Tito Caffi
Anna Simonetto
Gianni Gilioli
Critical Success Factors for the Adoption of Decision Tools in IPM
Agronomy
decision tools
integrated pest management
decision support systems
pest management
crop protection
author_facet Vittorio Rossi
Giorgio Sperandio
Tito Caffi
Anna Simonetto
Gianni Gilioli
author_sort Vittorio Rossi
title Critical Success Factors for the Adoption of Decision Tools in IPM
title_short Critical Success Factors for the Adoption of Decision Tools in IPM
title_full Critical Success Factors for the Adoption of Decision Tools in IPM
title_fullStr Critical Success Factors for the Adoption of Decision Tools in IPM
title_full_unstemmed Critical Success Factors for the Adoption of Decision Tools in IPM
title_sort critical success factors for the adoption of decision tools in ipm
publisher MDPI AG
series Agronomy
issn 2073-4395
publishDate 2019-11-01
description The rational control of harmful organisms for plants (pests) forms the basis of the integrated pest management (IPM), and is fundamental for ensuring agricultural productivity while maintaining economic and environmental sustainability. The high level of complexity of the decision processes linked to IPM requires careful evaluations, both economic and environmental, considering benefits and costs associated with a management action. Plant protection models and other decision tools (DTs) have assumed a key role in supporting decision-making process in pest management. The advantages of using DTs in IPM are linked to their capacity to process and analyze complex information and to provide outputs supporting the decision-making process. Nowadays, several DTs have been developed, tackling different issues, and have been applied in different climatic conditions and agricultural contexts. However, their use in crop management is restricted to only certain areas and/or to a limited group of users. In this paper, we review the current state-of-the-art related to DTs for IPM, investigate the main modelling approaches used, and the different fields of application. We also identify key drivers influencing their adoption and provide a set of critical success factors to guide the development and facilitate the adoption of DTs in crop protection.
topic decision tools
integrated pest management
decision support systems
pest management
crop protection
url https://www.mdpi.com/2073-4395/9/11/710
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