by A. Pung | Oct 15, 2026 | AI / ML, Botany
TL;DR: In this project, we systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Color: Coloration on...
by A. Pung | Oct 15, 2026 | AI / ML, Botany
TL;DR: In this project, we systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Color: Coloration on...
by A. Pung | Oct 15, 2026 | AI / ML, Botany
UNDER CONSTRUCTION (10/15/26) TL;DR: In this project, I systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as...
by A. Pung | Oct 15, 2026 | AI / ML, Botany
TL;DR: In this project, I systematically measure watermelons using 38 different parameters in an effort to predict watermelon sweetness based on its externally measurable characteristics. Generally speaking, the metrics may be grouped as follows: Basic: Date,...
by A. Pung | Oct 11, 2026 | Botany
After completing my project on whitetail age prediction, I wanted to build an experiment that: Is home-grown and well-documented Is reproducible Is capable of producing a wide variety of data Incorporate electronics and circuits (which I’m trying to learn)...
