Modular structure of web-based decision support systems for integrated pest management. A review

Damos, Petros

doi:10.1007/s13593-015-0319-9

Cited by 73 publications

(47 citation statements)

References 101 publications

(113 reference statements)

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“…In integrated pest management, selecting the best pest management strategies depends on a number of factors, for example early diagnosis and prediction of pest development. DST can play an essential role in simulating disease evolution and are able to deliver results in a timely manner (Damos 2015).…”

Section: Introductionmentioning

confidence: 99%

Willingness to pay for smartphone apps facilitating sustainable crop protection

Bonke

Fecke

Michels

et al. 2018

Agron. Sustain. Dev.

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By providing additional information and simulating results, decision support tools are one of the methods to enhance a farmer's decision-making process in order to achieve more sustainable practices. With the latest developments in smartphone technology, new possibilities to integrate decision support tools into the daily work process have been emerging and smartphone apps related to crop protection have been developed. However, little is known about the utilization of smartphones by farmers in general, and specifically with regard to crop protection. In order to gather first insights into the factors that could affect the decision of farmers to integrate smartphones and crop protection-related apps in particular, into their work process, we conducted an online survey with 174 technologically experienced German farmers in 2017. We gained insights about the current use of smartphones from the surveyed German farmers, explored which topics farmers perceive as useful in the form of an app for crop protection, and which factors influence the willingness to pay for these apps. Our results show that 93% of the respondents use smartphones for agricultural purposes. Weather forecasts, tools to identify pests, diseases and weeds, as well as related forecasts are perceived as useful by the majority of respondents. Eighty-two percent of the respondents are generally willing to pay for crop protection apps. Using a probit model, we found that the farmer's age, farm size, knowledge about specific crop protection apps, potential for cost reduction, and potential to reduce negative environmental effects have an influence on the general willingness to pay. Overall, this is the first study to explore factors influencing the willingness to pay for crop protection apps and assess which types of apps are perceived as useful by technologically experienced German farmers.

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Section: Introductionmentioning

confidence: 99%

Willingness to pay for smartphone apps facilitating sustainable crop protection

Bonke

Fecke

Michels

et al. 2018

Agron. Sustain. Dev.

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“…The use of the forecasting models can help growers to reduce the number of applications and costs of production, especially when the conditions for disease development are not favourable. The The primary approach of forecasting models is the possibility to reduce fungicide treatments avoiding economic losses and environmental disadvantages (Miličevič et al, 2006;Damos, 2015;Elad, 2016). The grey mould forecasting model iMETOS ® calculates the risk of infection based on the leaf wetness periods and the temperature during these periods.…”

Section: Resultsmentioning

confidence: 99%

The use of forecasting model iMETOS® for strawberry grey mould management

Rasiukevičiūtė

Uselis

Valiuškaitė

2019

Zemdirbyste-Agriculture

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Traditionally, management of strawberry (Fragaria × ananassa Duch.) diseases is based on chemical control; however, because of the high cost of pesticides and their adverse environmental effects, it is essential to determine the correct application timing. Disease forecasting models calculate optimal conditions for disease development, therefore model-based applications of fungicides are more precise. This study aimed to evaluate how to apply fungicides more precisely by using grey mould (Botrytis cinerea Pers.: Fr.) risk forecasting model iMETOS ® in order to reduce the number of applications, to obtain yield increase and ensure the safety and quality of strawberries. Field experiments were carried out at Institute of Horticulture, Lithuanian Research Centre for Agriculture and Forestry during 2008-2014 on a strawberry cultivar 'Elkat'. The experimental treatments were: 1) untreated, 2) conventional disease management system and 3) using forecasting model iMETOS ® . The experimental data indicated that the most favourable conditions for the spread of strawberry grey mould occurred in the 3 rd -4 th week of May and in the 1 st week of June. The application time as determined by the forecasting model iMETOS ® , gave yield increases in 2008-2014 of 0.9, 9.5, 1.0, 2.8, 4.3 and 3.2 t ha -1 , respectively, compared to the control treatment. In 2008-2014, the yield increase in the conventional disease management treatment was 3.2, 7.0, 3.5, 2.8, 2.7 and 2.7 t ha -1 higher compared to the control treatment. In 2009, the yield increases in the iMETOS ® treatment were 2.5 t ha -1 , in 2013 -1.6 t ha -1 and in 2014 -0.5 t ha -1 compared with the conventional disease management treatment. In 2011, there was no yield increase; the yield was similar in both treatments. In the iMETOS ® treatments, the amount of rotten fruit was 0.7, 2.3, 0.7, 0.1, 0.2 and 0.6 t ha -1 lower than in the control treatment. Fungicide application according to the recommendations of the forecasting model iMETOS ® allows reduction of plant protection costs, especially when the conditions for the spread of diseases are not favourable.

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“…This requires a continuous interaction between modellers and users (e.g., farmers, consultants, technicians) in order to develop tools that might resolve specific agricultural or pest management problems. Nowadays, various types of DTs have been developed to respond to various issues related to pest management and crop protection [45]. Some of the most important issues currently addressed by DTs are discussed below.…”

Section: Intended Use Of Dtsmentioning

confidence: 99%

Critical Success Factors for the Adoption of Decision Tools in IPM

et al. 2019

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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.

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Modular structure of web-based decision support systems for integrated pest management. A review

Cited by 73 publications

References 101 publications

Willingness to pay for smartphone apps facilitating sustainable crop protection

Willingness to pay for smartphone apps facilitating sustainable crop protection

The use of forecasting model iMETOS® for strawberry grey mould management

Critical Success Factors for the Adoption of Decision Tools in IPM

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