[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
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.
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.
OpenCV script to spot plants affected by Fusarium wilt.
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
An AI-based system that recommends crops, predicts yield and diseases, and provides irrigation guidance using real-time weather and soil data.
Development of a section control system for an agricultural sprayer using AgOpenGPS.
A modular AI system for automating disease detection, growth stage classification, and yield prediction in vertically farmed lettuce using computer vision, deep learning, and environmental data.
A full-stack React application using Gemini 1.5 Flash for agricultural image analysis. Integrates OpenWeather API for localized treatment advice and Firebase for real-time community discussions and user data persistence.
Open Source Sensor Node for Smart Agriculture
🌾 Smart Agriculture & Precision Farming web application for crop health monitoring, soil analytics, weather forecasting, and market prices.
Smart Agriculture System is an AI + GIS platform for smart farming, integrating mapping, soil analysis, weather data, and crop recommendations.
Gui for select image pixel reference for iTree3DMap
To associate your repository with the precision-farming topic, visit your repo's landing page and select "manage topics."