Wood-pulp paper production negatively impacts the environment due to its reliance on deforestation for material and its production by polluting paper mills. Using fungi for paper pulp can potentially reduce the strain that wood-pulp paper production puts on the environment by utilizing a more sustainable natural resource with biodegradable and antimicrobial properties. Our team devised
Although global change is negatively affecting endangered sea turtles, populations are decreasing at a rate faster than research and conservation efforts. We propose here a contribution to accelerate the pace of scientific discovery by mining a database collected in long-term field research/conservation sites. By organizing and analyzing a 5-yr data set from the Pacuare Reserve
Our grand challenge is to evaluate whether or not emerging satellite remote sensing tools can be used to infer plant function, particularly with respect to plant water content. We studied patterns of plant water content inferred by Vegetation Optical Depth (VOD) from NASA’s SMAP mission and plant water use inferred by Evapotranspiration (ET) using NASA’s
Portable water filtration and storage device. View the full poster here
Water management is crucial for New Mexico as it is one of the driest states. Inefficient allocation of water only worsens water scarcity. Satellite data can measure variables we need for our 3 domains. For ag, evapotranspiration (ET) is compared between pivot and non-pivot irrigation. Evaporative stress index (ESI) is used to measure severity of
Since the beginning of the Spring Semester, our main focus for our GCI project was to create a game that emphasized the importance of political corruption and gerrymandering. American politics itself IS a game, which involves chance and controversial transactions throughout a typical campaign. The goal of this board game is to not only be
The grand challenge of this project is to use video games and virtual environments to train agents for real-world robotics use. This project is important because it aims to improve the ability and efficiency of training robots. Using virtual environments allows for fast and cheap training and testing. We used a deep reinforcement learning algorithm
In the face of growing Internet complexity, children start interacting with the internet very early on. However, internet safety has not been taken as seriously as it should be by schools. To help current and future generations, we’ve created a syllabus that elementary schools can implement in their curriculum. Our syllabus intends to tackle all
Documenting the activity of rarely seen animals can be extremely helpful in putting together conservancy efforts for certain wildlife areas that interfere with human infrastructures. Data was used by collecting pictures and videos from trail cameras in enclosed and not enclosed sunflowers at the Irvine Ranch Conservancy. Findings indicated that more species were founded in
Companies have no way of verifying if their discounts are in circulation. Providing discounts at unscheduled times can cause revenue loss for companies. Our proposed solution is to create an object detection model capable of locating product discounts and a mobile app to communicate the model’s findings with the product’s company. We are the first