Crop and weed detection using image processing and deep learning techniques
Bachelor Degree Project in Industrial Engineering, 30 ECTS [PR508G] Spring Semester 2020
By Laura Martinez Anton and Lina Chaaro
Abstract:
This project develops a system for the identification of spinachs, cleavers
and dandelions as an alternative to the weed detector system on
FarmBots company robots. Artificial intelligence and computer vision are
combined achieving an accuracy of 78.10% for spinachs, 53.12% for
cleavers and 44.76% for dandelions. In addition, the coordinates of
cleavers and dandelions are given according to their location on the
FarmBot.
Please see the attached poster:
Poster_exhibition_AI_weed_detector.pdf (616.9 KB)