precision-livestock-farming

Track-assisted, automatic, instant cattle identity cataloger and cattle-recognition system. (Datasets included.)

Google Colab notebook using Mask R-CNN (Keras/TensorFlow) for pig instance segmentation to estimate measurements (area, length) and predict weight. 🐷

Real-time computer-vision system for pig farms: tracks each pig's activity to flag animals needing veterinary blood tests. Deployed, non-commercial research.

ChickenVerse: An Open Large-Scale Multi-Task Dataset for Chicken Detection, Segmentation, and Behavior Recognition

Dataset, code, and weights for PigNet: short-term pig body-weight forecasting from multi-source data.

AI + Computer Vision pipeline for Social Network Analysis (SNA) of dairy cows. Uses YOLOv11, ByteTrack & ZebraPose for detection, tracking & behavior inference.

Rastreamento em tempo real e geocerca para rebanho bovino. App mobile-first, FastAPI + PostGIS, autenticacao com Argon2id e rotacao de refresh token, simulador de rebanho embutido.

Three-layer PLF engine monitoring 1,242 laying hens at Boonducks Farm, South Africa. YOLOv8-nano vision, XGBoost acoustic stress detection, TimescaleDB telemetry — all on Jetson Orin Nano edge AI.

Open-source AI poultry monitoring website — Boonducks Farm PLF Engine landing page with live YOLOv8 detection demo, real-time dashboard, acoustic waveform, and ROI calculator.

AST + XGBoost pig respiratory health monitor — code, AST embeddings, and evaluation for Chen et al. (2026)

Heat-stress repeatability pipeline for dairy cows: broken-stick breakpoints, profile-RSS CIs, and ICC(1,1) with stackable corrections.

Pasture mother-cow sensor data pipeline — smaXtec rumen boluses, eShepherd virtual-fence collars, and ATB Potsdam weather — for comparing circadian zeitgebers between stall and pasture life. Sister project to DigiMuh.

STAG — Sensor-based Tracking and Analysis of Gait. Unsupervised behavioural phenotyping for farmed red deer from head + ear accelerometers: k-means prototype discovery, first-order Markov sequence analysis, and embedded real-time deployment benchmarked across ten microcontroller classes from 8-bit AVR to Cortex-M7.

Reproducible code, datasets, and supplementary materials for the bibliometric and adoption-economics analysis of social dimensions in livestock digital transformation. Includes Python and R scripts, VOSviewer session files, processed datasets, statistical analyses, and figure-generation workflows.