Plastic Contaminant Detection in Aerial Imagery of Cotton Fields with Deep Learning
Pappu Kumar Yadav; J. Alex Thomasson; Robert G. Hardin; Stephen W. Searcy; Ulisses Braga-Neto; Sorin C. Popescu; Roberto Rodriguez; Daniel E Martin · 2022 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Plastic shopping bags that get carried away from the side of roads and tangled on cotton plants can end up at cotton gins if not removed before the harvest. Such bags may not only cause problem in the ginning process but might also get embodied in cotton fibers reducing its quality and marketable value. Therefore, it is required to detect, locate, and remove the bags before cotton is harvested. Manually detecting and locating these bags in cotton fields is labor intensive, time-consuming and a costly process. To solve these challenges, we present application of four variants of YOLOv5 (YOLOv5s
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Metadata source: arXiv