Science

Soil Moisture Sensor: Applying The Laws Of Electricity To Optimize Household Plants Management

by Harold McCants, Kirkland Ranch Academy of Innovation, Wesley Chapel, FL

When watering plants, there is always the problem of over/under watering them. Both may damage the plant, making their management a time-consuming activity. In this paper, we present the theory and implementation for a Soil Moisture Sensor, which automatically detects the conductivity of the soil supporting the plant. An extension of the project adjusts for the plant species specific optical electric conductivity, including water salinity as a control parameter.

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Greenhouse Gas Emissions: Production And Reduction

by Iliyana Jackson, Orange County, Florida

Global warming is the most discussed aspect of climate change, and this paper explores its essential human-induced causes.

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Photo Credit: NSU Aim Higher 2024

NSU Aim-Higher 2024 Research Posters

Nova Southeastern University, Davies campus, FL

The complex interactions between modern lifestyle, teenage social dynamics, and the pervasive influence of social media are investigated in a series of research projects by the Nova Southwestern University Aim Higher 2024 summer camp participants.

Photo Credit: ESA–C. Carreau/Nazé et al.

A Study On The Correlation Between A Star's Rayleigh-Taylor Characteristic Timescale And Stellar Wind Activity

by Fiona Klett, King High School, Tampa, FL

Emissions of massive particles from stars (stellar wind) are still not completely understood, yet the mechanism could be useful in modeling solar activity contributing to global warming.

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Photo Credit: Tara Winstead/Pexels

by Mairead Reardon, FL

Understanding the precise scope of applicability of AI tools and therefore their limitations is essential for properly using these technological advances without the risk of confusion or mismanagement. The role of the user is different when using AI than when using any other computer-based tool, because AI is designed to be constantly-evolving and is not a localized resource, therefore presenting the novel challenge of working with unsupervised learning from unknown sources. These important new features are documented and explored in our article.

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