[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio
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Updated
Jun 13, 2025 - Python
[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio
Yellow Sticky Traps Dataset with improved annotations. Based on: "Raw data from Yellow Sticky Traps with insects for training of deep learning Convolutional Neural Network for object detection" by A.T. Nieuwenhuizen et. al.
[IROS25] Offical Code for "FruitNeRF++: A Generalized Multi-Fruit Counting Method Utilizing Contrastive Learning and Neural Radiance Fields" - Inegrated into Nerfstudio
This project develops C++ and Python standard-language software for embedding in irrigation controllers for human-supervised fully-automated distributed systems.
This project is an AI-powered plant disease prediction tool utilizing Convolutional Neural Networks (CNN). It is specialized for identifying diseases in maize, potato, tomato, and rice crops, helping farmers and agricultural professionals detect and manage crop diseases early.
A Computer Vision methdology to monitor large mammalian herbivores using thermal UAV imagery
Alignment between the coordinate system of a point cloud and the global coordinate system of pcl
This web application uses Machine Learning to recommend crop, fertilizer, pesticide and storage process based on various variables. Algorithm used is SVM for multi-classification
Precision Farming Robot using ESP32 for motor control and live video streaming. Controlled via MQTT and a GUI, this system aims to automate farming tasks for smart agriculture.
An AI-based system that recommends crops, predicts yield and diseases, and provides irrigation guidance using real-time weather and soil data.
OpenCV script to spot plants affected by Fusarium wilt.
Open Source Sensor Node for Smart Agriculture
Computer vision and satellite imagery analysis for precision agriculture. Detects crop diseases, monitors soil health, predicts yields, and optimizes irrigation using drone imagery and multispectral data.
3D Mapping of a tree for dendrometric feature estimation
Mission Manager (middleware) developed for the AFarCloud EU Research Project
Gui for select image pixel reference for iTree3DMap
Moteur Fog Microservice pour l'Agriculture Intelligente. Prise de décision locale (irrigation de précision) via MQTT, Docker et Edge AI.
A modern WordPress-based AI planner that helps farmers optimize herbicide usage, reduce costs, and export weed management schedules as CSV/PDF.
Bachelor's Thesis Project for Telekom Innovation Laboratories at ELTE University
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