Jeffisgod

Jeffisgod/Agri-CV-Research

Instructions file

Instructions for Jeffisgod/Agri-CV-Research, covering agri-cv research framework — build notes, project overview, build order, key conventions and important notes.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Automated research framework for agricultural computer vision. Input a research direction and the system automatically completes literature search, hypothesis generation, experiment execution, result analysis, and paper writing.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Comprehensive evaluation framework for agricultural computer vision covering standard metrics, robustness testing, edge device benchmarking, and ablation experiment automation.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Automatic generation of publication-quality figures commonly used in agricultural CV papers: Grad-CAM heatmaps, confusion matrices, detection result displays, training curves, and radar comparison charts.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Unified loading, preprocessing, and augmentation for agricultural computer vision datasets. Supports automatic download from Kaggle, HuggingFace Hub, and GitHub releases; deterministic train/val/test splitting; domain-specific augmentation presets; and cross-dataset label alignment for domain-adaptation experiments.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

LaTeX template management and automatic filling for agricultural CV papers, supporting CVPR, ECCV, Plant Phenomics, Computers and Electronics in Agriculture, and other venues.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

End-to-end crop disease detection skill supporting classification (which disease), detection (where is the disease), and segmentation (disease region) at three granularity levels, with multiple SOTA models and training strategies built in.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Fruit detection, instance segmentation, and yield estimation skill for orchard management, supporting apple, citrus, and other fruit counting using YOLO and SAM combined approaches.

Jeffisgod/Agri-CV-Research

Skill Claude CodeCodex

Weed identification and site-specific weed management skill for precision agriculture, supporting detection, classification, and localization of weed species in field conditions.