The current agricultural industry faces challenges in managing crops and weeds. Traditional manual identification is inefficient and prone to errors, leading to a decrease in crop yield. Existing solutions rely heavily on manual intervention, lacking efficient automated tools to meet the fine management needs of modern agriculture. This dataset aims to support the training of deep learning models by providing high-quality crop and weed… See the full description on the dataset page:
https://huggingface.co/datasets/Mobiusi/Field-Crop-and-Weed-Segmentation-Dataset.
