Decision making models embedded into a web-based tool for assessing pest infestation risk

Cano, Isabel María Del Águila; Cañadas, Joaquín; Túnez, Samuel

doi:10.1016/j.biosystemseng.2015.03.006

Cited by 13 publications

(3 citation statements)

References 25 publications

(33 reference statements)

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“…We were able to develop action thresholds between 2012 and 2017. A risk-aversion gradient approach was taken [61,62]. A risk-based action threshold is appropriate given the different production systems that exist in Maine for wild blueberry and given that markets range from local fresh market roadside sales, to the export of frozen berries to foreign markets.…”

Section: Discussionmentioning

confidence: 99%

Population Dynamics of Spotted Wing Drosophila (Drosophila suzukii (Matsumura)) in Maine Wild Blueberry (Vaccinium angustifolium Aiton)

Drummond

Ballman

Collins

2019

Insects

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A long-term investigation of D. suzukii dynamics in wild blueberry fields from 2012–2018 demonstrates relative abundance is either still increasing or exhibiting periodicity seven years after the initial invasion. Relative abundance is determined by physiological date of first detection and air temperatures the previous winter. Date of first detection of flies does not determine date of fruit infestation. The level of fruit infestation is determined by year, fly pressure, and insecticide application frequency. Frequency of insecticide application is determined by production system. Non-crop wild fruit and predation influences fly pressure; increased wild fruit abundance results in increased fly pressure. Increased predation rate reduces fly pressure, but only at high abundance of flies, or when high levels of wild fruit are present along field edges. Male sex ratio might be declining over the seven years. Action thresholds were developed from samples of 92 fields from 2012–2017 that related cumulative adult male trap capture to the following week likelihood of fruit infestation. A two-parameter gamma density function describing this probability was used to develop a risk-based gradient action threshold system. The action thresholds were validated from 2016–2018 in 35 fields and were shown to work well in two of three years (2016 and 2017).

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Section: Discussionmentioning

confidence: 99%

Population Dynamics of Spotted Wing Drosophila (Drosophila suzukii (Matsumura)) in Maine Wild Blueberry (Vaccinium angustifolium Aiton)

Drummond

Ballman

Collins

2019

Insects

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“…20 Current practices in agricultural management involve the application of rules and techniques to ensure high quality and environmentally friendly production. 21 The results in Table 5 showed that 40% of the respondents their source of ploughing information were services centres, 35% of them got from others farmers and only 25% from extension. For source of preparing land information 51% of the respondents their source were other farmers, 26% of them accessed from extension and only 23% got information from service centres.…”

Section: Results Of Descriptive Analysismentioning

confidence: 98%

Assessment of the components that deliver agricultural extension services, at Gezira state-wad medani great locality, Sudan

Hamad¹,

Ali²,

Abdallh³

2020

MOJES

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This study was conducted at Wad Medani Great Locality, Sudan- season 2016. The study attempts to assess the components that transferring agricultural extension services to the farmers involving services centers, also to assess the old components through the links between each other’s, type of the link, and information transferring cost. The primary data were collected from a field surveys using a well-structured questionnaire. Secondary data was collected from books and scientific journals. The quota sample technique was used and 322 farmers were selected as the study population. Statistical Package for Social Sciences was used for data analysis focusing on descriptive statistics and correlation analysis. Results indicated that 64% of the respondents have landowner, 70% of their agricultural experience less than 15 years, and 79% Invested in cotton, corn, wheat, and peanuts, and 76%, 68%, 75%, and 71% of the respondents their source of fertilizer, fertilizer information, pesticides, and pesticides information were service centers respectively. 71% of the farmers assess that their links with extension were strong- direct- official, 62% and 92% of the respondents stated the personal method was used for delivering information by extension is its and the service centers respectively. Services centers were quick response partners and extension was the less cost. Results of correlation analysis showed that the link with extension had high significant with the source of seeds (.011) (R=-.142), and highly significant with the source of fertilizer (.000) the value (R=.317), fertilizer information, pesticides, and pesticides information (.000) the value (R=.271). The result of the regression test of the farmers showed a high significant link with the extension (.487 beta). The research recommended information should be transferred to all agricultural partners; Training sessions have to be held to all extension officers and ASCs workers, using more than one approach for conducting the extension process.

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“…Pest control is a vital process in the agricultural business, as pests and diseases can lead to important economic and ecological losses [88]. A number of DSSs have focused on providing support for farmers to identifying and treating ( [52,31]) a particular pest (see Figure 7).…”

Section: Pest and Disease Controlmentioning

confidence: 99%

A review of visualisations in agricultural decision support systems: An HCI perspective

Gutiérrez

Htun

Schlenz³

et al. 2019

Computers and Electronics in Agriculture

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Decision Support Systems (DSSs) are used in precision agriculture to provide feedback to a variety of stakeholders, including farmers, advisers, researchers and policymakers. However, increments in the amount of data might lead to data quality issues, and as these applications scale into big, real-time monitoring systems the problem gets even more challenging. Visualisation is a powerful technique used in these systems that provides an indispensable step in assisting end-users to understand and interpret the data. In this paper, we present a systematic review to synthesise literature related to the use of visualisation techniques in the domain of agriculture. The search identified 61 eligible articles, from which we established end-users, visualisation techniques and data collection methods across different application domains. We found visualisation techniques used in various areas of agriculture, including viticulture, dairy farming, wheat production and irrigation management. Our results show that the majority of DSSs utilise maps, together with satellite imagery, as the central visualisation. Also, we observed that there is an excellent opportunity for dashboards to enable end-users with better interaction support to understand the uncertainty of data. Based on this analysis, we provide design guidelines towards the implementation of more interactive and visual DSSs.

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Decision making models embedded into a web-based tool for assessing pest infestation risk

Cited by 13 publications

References 25 publications

Population Dynamics of Spotted Wing Drosophila (Drosophila suzukii (Matsumura)) in Maine Wild Blueberry (Vaccinium angustifolium Aiton)

Population Dynamics of Spotted Wing Drosophila (Drosophila suzukii (Matsumura)) in Maine Wild Blueberry (Vaccinium angustifolium Aiton)

Assessment of the components that deliver agricultural extension services, at Gezira state-wad medani great locality, Sudan

A review of visualisations in agricultural decision support systems: An HCI perspective

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