Decision Support Systems: Quenching the Thirst

Magarey, Roger D.; Travis, James; Russo, Joseph M.; Seem, Robert C.; Magarey, P. A.

doi:10.1094/pdis.2002.86.1.4

Cited by 68 publications

(42 citation statements)

References 9 publications

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“…Even though the forecast is correct, the forecast information could be ignored if users have difficulties in accessing and understanding the information due to delayed delivery or incomprehensibility. Subsequently the system loses an opportunity of validation and further improvement (Magarey et al, 2002). To make the information system user-friendly for local users in Korea, the weather and disease forecast data are provided in graphs, map images, and text forms in Korean.…”

Section: Discussionmentioning

confidence: 99%

A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution

Kang¹,

Hong²,

Han³

et al. 2010

The Plant Pathology Journal

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This paper describes a web-based information system for plant disease forecast that was developed for crop growers in Gyeonggi-do, Korea. The system generates hourly or daily warnings at the spatial resolution of 240 m×240 m based on weather data. The system consists of four components including weather data acquisition system, job process system, data storage system, and web service system. The spatial resolution of disease forecast is high enough to estimate daily or hourly infection risks of individual farms, so that farmers can use the forecast information practically in determining if and when fungicides are to be sprayed to control diseases. Currently, forecasting models for blast, sheath blight, and grain rot of rice, and scab and rust of pear are available for the system. As for the spatial interpolation of weather data, the interpolated temperature and relative humidity showed high accuracy as compared with the observed data at the same locations. However, the spatial interpolation of rainfall and leaf wetness events needs to be improved. For rice blast forecasting, 44.5% of infection warnings based on the observed weather data were correctly estimated when the disease forecast was made based on the interpolated weather data. The low accuracy in disease forecast based on the interpolated weather data was mainly due to the failure in estimating leaf wetness events.

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Section: Discussionmentioning

confidence: 99%

A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution

Kang¹,

Hong²,

Han³

et al. 2010

The Plant Pathology Journal

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“…Decision support systems (DSS) are becoming a vehicle of choice to provide information in complex situations (Magarey et al, 2002;Samietz et al, 2007;Jones et al, 2010). Many existing agricultural decision support systems are aimed at dealing with time-sensitive information-such as forecasting when pests and diseases require various management interventions to prevent crop loss-and are often paired with short-range weather forecasts to enable users to respond.…”

Section: Decision Support Systems Existing Use Of Decision Support Symentioning

confidence: 99%

Northwest U.S. Agriculture in a Changing Climate: Collaboratively Defined Research and Extension Priorities

Yorgey

Hall

Allen

et al. 2017

Front. Environ. Sci.

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In order for agricultural systems to successfully mitigate and adapt to climate change there is a need to coordinate and prioritize next steps for research and extension. This includes focusing on "win-win" management practices that simultaneously provide short-term benefits to farmers and improve the sustainability and resiliency of agricultural systems with respect to climate change. In the Northwest U.S., a collaborative process has been used to engage individuals spanning the research-practice continuum. This collaborative approach was utilized at a 2016 workshop titled "Agriculture in a Changing Climate," that included a broad range of participants including university faculty and students, crop and livestock producers, and individuals representing state, tribal and federal government agencies, industry, nonprofit organizations, and conservation districts. The Northwest U.S. encompasses a range of agro-ecological systems and diverse geographic and climatic contexts. Regional research and science communication efforts for climate change and agriculture have a strong history of engaging diverse stakeholders. These features of the Northwest U.S. provide a foundation for the collaborative research and extension prioritization presented here. We focus on identifying research and extension actions that can be taken over the next 5 years in four areas identified as important areas by conference organizers and participants: (1) cropping systems, (2) livestock systems, (3) decision support systems to support consideration of climate change in agricultural management decisions; and (4) partnerships among researchers and stakeholders. We couple insights from the workshop and a review of current literature to articulate current scientific understanding, and priorities recommended by workshop participants that target existing knowledge Yorgey et al.Priorities for U.S. Northwest Agriculture in a Changing Climate gaps, challenges, and opportunities. Priorities defined at the Agriculture in a Changing Climate workshop highlight the need for ongoing investment in interdisciplinary research integrating social, economic, and biophysical sciences, strategic collaborations, and knowledge sharing to develop actionable science that can support informed decision-making in the agriculture sector as the climate changes.

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“…By applying an effective preventive strategy dramatic disease outbreaks that have to be stopped by intensive spraying schemes are prevented. It is important to realize that growers/advisors will only use these DSSs when they help them to increase the efficacy of their control strategy and save their time and money (Magarey et al, 2002). Therefore it is important to convince farmers/advisors that information from DSSs will increase the efficacy of their control strategy without increasing the risk.…”

Section: Decision Support Systemmentioning

confidence: 99%

Strategies to Control Late Blight in Potatoes in Europe

Schepers¹,

Evenhuis²,

Spits³

2009

Acta Hortic.

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In Europe an aggressive genetically diverse population of potato late blight is present which regularly causes problems in all potato growing regions. It is therefore of the utmost importance that blight is managed in an integrated way by combining a range of measures. Hygiene measures can keep the number of primary sources of inoculum low. In a number of European countries campaigns are ongoing to increase the awareness of growers to reduce the risk of early inoculum sources such as dumps, volunteers and infected seed. The use of varieties with stable resistance for foliar and tuber blight is also a part of an integrated control strategy. In intermediate resistant varieties possibilities are investigated to reduce the input of fungicides. Fungicides still have a key role to play in the integrated control of late blight. In order to optimize the use of fungicides it is important to know the effectiveness and type of activity of the active ingredients to control blight. The use of fungicides should be targeted by using information on infection conditions based on weather data, disease pressure and fungicide characteristics. Decision Support Systems (DSS) can be used to integrate and organize all the available information required for decisions to control late blight. INTRODUCTIONLate blight was first introduced into Europe in the 1840s and is now the most serious potato disease. Nowadays an aggressive genetically diverse population with both the A1 and A2 mating type is present which regularly causes problems in all potato growing regions in Europe. In this situation the first outbreaks of late blight are detected earlier in the season and the development of the epidemic during blight conducive weather can be faster compared to the pre-1980s situation in which Europe had an asexual genetically similar population. It is therefore of the utmost importance that potato late blight is managed stringently by combining a range of control measures. In this paper some examples are presented of elements that can be part of an integrated control strategy of potato late blight. Measures are described related to the management of primary infection sources as well as the integration of resistant cultivars in the control strategy. Also the optimal use of a wide range of fungicides is presented and some examples of Decision Support Systems used in Europe are presented.

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Decision Support Systems: Quenching the Thirst

Cited by 68 publications

References 9 publications

A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution

A Web-based Information System for Plant Disease Forecast Based on Weather Data at High Spatial Resolution

Northwest U.S. Agriculture in a Changing Climate: Collaboratively Defined Research and Extension Priorities

Strategies to Control Late Blight in Potatoes in Europe

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