| Abstract |
The purpose of my project is to develop a novel Convolutional Neural Network (image AI algorithm) that can receive a video of a particular area of land and pinpoint
the location of various ground weeds. The developed algorithm is also programmed to effectively make a tally count of the number of weeds found, neatly displaying it to the respective user. Utilizing React.js, Roboflow Software, and a trained dataset of ground weeds, the system is to solve a longstanding problem that farmers face in locating ground weeds and avoiding external losses when it comes to eliminating them. |
