This dataset release represents Part 4 of the comprehensive young trefoil crop agricultural analysis project. While Part 1, Part 2 and Part 3 provided the raw image captures and camera parameters and machine-learning-ready image tiles. Part 4 delivers fully processed, georeferenced orthomosaics. This processed data is ideal for training computer vision models directly on map-based data for field-scale semantic segmentation, weed/crop classification, and precise spatial analysis. Dataset Characteristics Target Crop: Trefoil Growth Stage: Young / Early Vegetative Image Types: Processed Orthomosaics RGB Technical Specifications 1 RGB Orthomosaic 97241 x 63628 pixels
This dataset release represents Part 4 of the comprehensive young trefoil crop agricultural analysis project. While the four previous parts provided the raw image captures and camera parameters and machine-learning-ready image tiles. Part 5 delivers fully processed, georeferenced…
Driven by accelerating global climate change and frequent extreme weather events, traditional agricultural production systems face unprecedented challenges regarding survival and productivity. This paper systematically proposes a novel interdisciplinary concept termed Agricultura…
This dataset was developed to support an assistive belt system designed to help visually impaired individuals navigate outdoor environments safely. It contains annotated images covering 15 object classes relevant to outdoor navigation: person, car, bus, truck, bicycle, motorcycle…
Falling has been one of the major concerns and threats to the independence of the elderly in their daily lives. With the worldwide significant growth of the aging population, it is essential to have a promising solution of fall detection which is able to operate at high accuracy…
Abstract: Market intelligence software gathers and processes information on demand, supply, competition and customers to help managers, farmers and other stakeholders in the value chain of agriculture. When such software is combined with artificial intelligence (AI) it becomes we…
The Microgreen Master Dataset (Public Version) is an open RGB image dataset developed to support research in computer vision, artificial intelligence, and smart agriculture. The dataset is intended for training and evaluating machine learning models for automatic classification o…