farmland-anomalies

Open source technology for agriculture, farming, and gardening

FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability

Robust and efficient coverage paths for autonomous agricultural vehicles. A modular and extensible Coverage Path Planning library

A system that uses ESP-NOW, LoRa, and other protocols to transport sensor data in remote areas without relying on WiFi.

Anomaly detection using LoOP: Local Outlier Probabilities, a local density based outlier detection method providing an outlier score in the range of [0,1].

Building the Coffee Quality Institute Database

AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.

Project: Unsupervised Anomaly Segmentation via Deep Feature Reconstruction

Software for self driving lawn tractor.

UG Project 2019-20.