[WACV 2023] Information and scripts for the CropAndWeed Dataset

Weed Detection and Laser Elimination on Farmbot Genesis.

Deep Learning-based Early Weed Segmentation using Motion Blurred UAV Images of Sorghum Fields

Lawn robot for spraying weeds

CoFly-WeedDB dataset: 201 aerial RGB images for weed detection.

Weed detection method with training datasets

Agricultural weed segmentation using YOLO, ERFNet, and DeepLabV3+ on the PhenoBench dataset. Includes TensorRT for edge inference.

This repository documents the process and results of adapting the RoWeeder framework [1] for unsupervised weed detection on the PhenoBench dataset [2]. The original RoWeeder pipeline was designed for the multi-channel WeedMap dataset. This work details the necessary modifications to apply its pseudo-labeling logic to the RGB-only PhenoBench benchma

Computer Vision pipeline for crop and weed detection, with tools for dataset processing, data augmentation, hyperparameter optimization, and NCNN export for edge deployment.

Detect harmful weeds using AI

Local-first crop & weed detection workbench. YOLOv8 tiled detection, Moondream VLM verification, CLIP similarity search — fully offline with Django, Celery, and pgvector.