[IROS24] Offical Code for "FruitNeRF: A Unified Neural Radiance Field based Fruit Counting Framework" - Inegrated into Nerfstudio
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Updated
Sep 24, 2024 - 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.
This project develops C and Python standard-language software for embedding in irrigation controllers for human-supervised fully-automated distributed systems.
A Computer Vision methdology to monitor large mammalian herbivores using thermal UAV imagery
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.
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
OpenCV script to spot plants affected by Fusarium wilt.
Alignment between the coordinate system of a point cloud and the global coordinate system of pcl
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.
Open Source Sensor Node for Smart Agriculture
Mission Manager (middleware) developed for the AFarCloud EU Research Project
3D Mapping of a tree for dendrometric feature estimation
Bachelor's Thesis Project for Telekom Innovation Laboratories at ELTE University
Gui for select image pixel reference for iTree3DMap
C algorithm to estimate percent canopy missing of a stem tree using PCL
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