A Web-based Decision Support System for Managing Panicle Caterpillars in Sorghum

Backoulou, Georges F.; Elliott, Norman C.; Royer, T. A.; Pendleton, Bonnie B.; Brewer, Mike

doi:10.2134/cm-2014-0020-mg

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…New crop species require extensive agronomic research and development of production and marketing infrastructure within a region. Increased adoption of integrated pest management practices will be required for early detection of and flexible responses to increased or new pest pressures (Backoulou et al 2014;Nansen and Elliott 2016). For forests and tree-based systems, silvicultural management, including thinning and reduction of tree density, can be used to reduce tree mortality and fire risk (Dinon et al 2013), but may need to become more frequent and aggressive in response to climate change.…”

Section: Adaptation Planning For Cropping Systemsmentioning

confidence: 99%

Vulnerability of Southern Plains agriculture to climate change

et al. 2017

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Projections of greater interannual and intrannual climate variability, including increasing temperatures, longer and more intense drought periods, and more extreme precipitation events, present growing challenges for agricultural production in the Southern Plains of the USA. We assess agricultural vulnerabilities within this region to support identification and development of adaptation strategies at regional to local scales, where many management decisions are made. Exposure to the synergistic effects of warming, such as fewer and more intense precipitation events and greater overall weather variability, will uniquely affect rain-fed and irrigated cropping, high-value specialty crops, extensive and intensive livestock production, and forestry. Although the sensitivities of various agricultural sectors to climatic stressors can be difficult to identify at regional scales, we summarize that crops irrigated from the Ogallala aquifer possess a high sensitivity; rangeland beef cattle production a low sensitivity; and rain-fed crops, forestry, and specialty crops intermediate sensitivities. Numerous adaptation strategies have been identified, including drought contingency planning, increased soil health, improved forecasts and associated decision support tools, and implementation of policies and financial instruments for risk management. However, the extent to which these strategies are adopted is variable and influenced by both biophysical and socioeconomic considerations. Inadequate local-and regional-scale climate risk and resilience information suggests that climate vulnerability research and climate adaptation approaches need to include bottom-up approaches such as learning networks and peer-to-peer communication.

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Section: Adaptation Planning For Cropping Systemsmentioning

confidence: 99%

Vulnerability of Southern Plains agriculture to climate change

et al. 2017

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“…Elliott et al (2004)) have developed a web-based decision system for the green bug (Schizaphis graminum) management that is utilizing four modules: aphid identification, the economic threshold calculator, insecticide selection, and natural enemy identification. More recently, Backoulou et al (2014) have developed a web-based decision support system for managing the economic importance panicle caterpillars in Sorghum. The related decision support system calculates the economic thresholds for this pest, and the related expert system is based on a knowledge representation model.…”

Section: Instances Of Web-based Decision Support For Integrated Pest mentioning

confidence: 99%

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

Damos

2015

Agron. Sustain. Dev.

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Sustainable pest management implies less pesticide use and replacement by safe control alternatives. This requires decision support for rational pest management. However, in practice, successful decision making is dependent upon the availability of integrated, high-quality information. Computer-aided forecasting and related decision support systems make pest control more sustainable by avoiding unwanted consequences of pesticide applications. Here, I review integrated pest management for web-based decision support systems. The major points are the following: (1) Principles of integrated pest management are compatible with sustainable agriculture. (2) Pest models serve as basis of decision making because they offer means to predict the exact time of pest phenological development and initiate management actions. Most models are climate driven. (3) New hardware technology has permitted the registration of automatically recorded climatic data. This data can be combined with pest models through logical operations and forecasting algorithms to develop a software of pest management. (4) Dynamic web interfaces can serve as decision support systems providing the user with real-time pest warnings and recommendations for management actions. (5) Ontology web programing and semantic knowledge representations provide a way to classify and describe agrodata to facilitate information sharing and data exploitation over distributed systems. (6) Most available pest management data is published on static web pages and, thus, cannot be classified as decision support systems. Some web-based decision support systems provide user-interactive content and real-time pest forecasts and management support.

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