A Spatially Explicit Individual-Based Model of the Population Dynamics of the greenhouse whitefly (Trialeurodes vaporariorum), Encarsia formosa and tomato powdery mildew (Oidium neolycopersici) in Tomato Crops.

Rodríguez, Bustos; Alexander, Henry

doi:10.53846/goediss-6395

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“…Hulspas-Jordaan and van Yano et al, 1989). Rodríguez (2016) also included the whiteflies' interaction with powdery mildew that often occurs on tomato leaves together with whiteflies and can influence both the pest and its natural enemies. Rincon et al (2015) produced an algorithm to simulate the effect of within-plant heterogeneity on whitefly-predator dynamics based on explicit prey spatial distributions.…”

Section: Simulation Of Whitefly Population Dynamicsmentioning

confidence: 99%

Advances in insect pest and disease monitoring and forecasting in horticulture

Vänninen¹

2022

Burleigh Dodds Series in Agricultural Science

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Pest monitoring in horticulture is developing technologically to reduce time and labor needed for sampling and to produce more accurate pest predictions. New ways of detecting pests based on selective e-traps, e-noses, cameras and acoustic signatures are already in use or emerging. Remote sensing of pests requires the development of new economic injury levels and economic thresholds (ET). The relative importance of mechanistic and statistical models is changing due to AI-technologies and Big Data. The use of Big Data will force researchers to collect, use and value data differently than before. The incorporation of natural enemies in ETs will take place gradually and require researchers to acquire modeling skills. Research for advancing monitoring and forecasting also must include the socioeconomic factors that determine whether new technologies will be implemented by farmers. Developing trustworthy sampling plans and forecasting models,, and validating and implementing them in collaboration with stakeholders, remains important.

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Section: Simulation Of Whitefly Population Dynamicsmentioning

confidence: 99%

Advances in insect pest and disease monitoring and forecasting in horticulture

Vänninen¹

2022

Burleigh Dodds Series in Agricultural Science

View full text Add to dashboard Cite

show abstract

A Spatially Explicit Individual-Based Model of the Population Dynamics of the greenhouse whitefly (Trialeurodes vaporariorum), Encarsia formosa and tomato powdery mildew (Oidium neolycopersici) in Tomato Crops.

Cited by 1 publication

References 0 publications

Advances in insect pest and disease monitoring and forecasting in horticulture

Advances in insect pest and disease monitoring and forecasting in horticulture

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