Pest Management

Bell, C. H.

doi:10.1016/b978-0-12-381504-0.00029-9

Cited by 4 publications

(1 citation statement)

References 24 publications

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“…The use of pheromones as pest management techniques is common from the 1950s and commercial from the 1980s. There are mainly two types of pheromones: the first category is produced by female insects to attract males (Sex pheromones such as ZETA or 14‐methyl‐8‐hexadecenal) and the other is produced generally by males to attract both females and males to food sources (aggregation pheromones such as 4,8‐dimethyl decanal) (Bell, 2014; Ginzel & Lafayette, 2010). Pheromone traps are combined with trapping agents such as oils, where insects are killed by suffocation.…”

Section: Biorational Approachesmentioning

confidence: 99%

Disinfestation techniques for major cereals: A status report

Paul

Radhakrishnan

Saravanan

et al. 2020

Comp Rev Food Sci Food Safe

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Management of stored product insects is a major concern and widely researched topic in the food and grain processing and storage industry. In the scenario of estimated utilization of produces exceeding the production, postharvest losses should be properly controlled to feed the growing population. The prevailing disinfestation techniques are forced to meet regulatory standards and market demands. The resistance developed by insects, environmental concerns, and occupational hazards lead to the vanishing of many chemicals used in insect and pest management programs. Some of the major disinfestation techniques such as the use of chemical fumigants, ozone, irradiation, dielectric heating, extreme temperature treatments, and bio rational approaches are discussed, particularly on the storage of cereal grains and its products, as they contribute to a significant proportion of food consumed worldwide. Newer techniques such as nonthermal plasma and metabolic stress disinfestation and decontamination for stored pest control are developed and evaluated in different parts of the world. The knowledge about the mode of action of these disinfestation techniques is important to avoid the cross-resistance and multiple resistance developed by insects with frequently used techniques. Various alternatives to conventional fumigants are discussed in this review as there is a growing demand for toxic-free, environment-friendly, and, at the same time, efficient techniques.

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Section: Biorational Approachesmentioning

confidence: 99%

Disinfestation techniques for major cereals: A status report

Paul

Radhakrishnan

Saravanan

et al. 2020

Comp Rev Food Sci Food Safe

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Biodegradable Polymer Nanofibers Applied in Slow Release Systems for Agri-Food Applications

Martins

Scagion

Schneider

et al. 2019

Polymers for Agri-Food Applications

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Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles

Bişğin

Bera

Ding

et al. 2018

Sci Rep

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Insect pests, such as pantry beetles, are often associated with food contaminations and public health risks. Machine learning has the potential to provide a more accurate and efficient solution in detecting their presence in food products, which is currently done manually. In our previous research, we demonstrated such feasibility where Artificial Neural Network (ANN) based pattern recognition techniques could be implemented for species identification in the context of food safety. In this study, we present a Support Vector Machine (SVM) model which improved the average accuracy up to 85%. Contrary to this, the ANN method yielded ~80% accuracy after extensive parameter optimization. Both methods showed excellent genus level identification, but SVM showed slightly better accuracy for most species. Highly accurate species level identification remains a challenge, especially in distinguishing between species from the same genus which may require improvements in both imaging and machine learning techniques. In summary, our work does illustrate a new SVM based technique and provides a good comparison with the ANN model in our context. We believe such insights will pave better way forward for the application of machine learning towards species identification and food safety.

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Pest Management

Cited by 4 publications

References 24 publications

Disinfestation techniques for major cereals: A status report

Disinfestation techniques for major cereals: A status report

Biodegradable Polymer Nanofibers Applied in Slow Release Systems for Agri-Food Applications

Comparing SVM and ANN based Machine Learning Methods for Species Identification of Food Contaminating Beetles

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