<Work In Progress>
TL;DR:
This post details the materials, sensors, and motivation behind the atmospheric measurement board used in the FIELD (Frequency & Intensity Experiments on Leaf Development) project. In total, the board utilizes NN sensors:
Tools:
- FNIRSI Soldering station: Soldering station with numerous features & helping hands [Link]
- Solder smoke absorber: Efficiently removes solder smoke from the workplace [Link]
- Heat-shrink solder kit: Kit to add heat-shrinking sleeves around metal connections [Link]
Datasets:
- Basic: Date, location, and purchaser of the watermelon
- Visual: Coloration on the exterior of the watermelon, including bands, scarring, and yellow spot.
- Acoustic: Frequency analysis of “knocking” on the watermelon in different locations.
- Structural: The dimensions of the watermelon, including its ability to stand upright.
In addition, a public survey was conducted of more than 1,000 respondants asking which methods they believe are key to choosing a sweet watermelon.
Introduction
Every summer, people flock to grocery stores in search of a refreshing seasonal favorite, the watermelon. Regardless of age, sex, or ethnic background, picking a sweet watermelon presents a dilemma for us all: Without cutting it open, how do I pick out a sweet watermelon?
Layout
Introduction
The collected data metrics can be cleanly separated from the data collection process, since the former is a list, while the latter is a workflow. They are presented in this order below.
Diagram
Conclusion
The