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Are CARICOM countries innovating into the fourth industrial revolution?

Ishenkumba Kahwa
Professor of Supramolecular Chemistry, The University of the West Indies
About This Event
November 8, 2022
12:30 pm
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Day 2
  —  
10:50 am

A Dietary Risk Exposure Assessment of Pesticide Residues found in Commonly Consumed Foods in Trinidad and Tobago

Pesticide usage in agriculture has occurred for centuries and led to significant positive outcomes in food production and noticeable reduction in crop losses. However, pesticide usage on food crops often results in the presence of toxic pesticide residues on food produce, which is the main route of exposure to pesticides in humans. The toxicity of the pesticide residues can potentially cause debilitating effects to major human organs and body systems. Pesticide residue analysis addresses the issue of pesticide residues in foods by screening and quantifying the levels of pesticides in food commodities.

Day 2
  —  
1:25 pm

Small-RNA Next Generation Sequencing, a Tool for the Discovery of the Virome of Jamaican Crops

Plant viruses are responsible for significant losses in crop production annually. Infections are often exacerbated by mixed infections. One strategy of combatting viral disease spread lies in swift diagnoses so that immediate interventions can be employed to slow or stop their spread. Sweet pepper, hot pepper, and tomato are among the most important cash crops in Jamaica and are constantly threatened by pathogens.

Day 2
  —  
1:05 pm

Environmental modeling of organic pollutant distribution in Jamaica

Numerous organic chemicals, either directly manufactured or formed as byproducts of other processes, are released into the environment. Once there, many cause adverse effects on environmental and human systems. Of particular concern are long-lasting impacts from those organic pollutants that remain in the environment for long periods of time. The development of appropriate management strategies to address this problem requires knowledge of the environmental distributions of these pollutants.

Day 3
  —  
1:35 pm

Development of a Simple Automated Image-based Sun Position Tracking Algorithm

At the inception of automated solar tracking in the 1970’s, geometric architectures with pair(/s) of solid-state photo-sensitive devices were constructed and used to detect the sun’s position. As an alternative in recent years, cameras have been used to capture and process live sky images to detect the sun’s position. When the sky is cloudy however, both approaches are prone to errors and sometimes require human intervention which tend to reduce the trackers’ economic viability [1].

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