Oyster mushroom (Pleurotus species)

A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications

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Researchers have created a large collection of carefully labeled photographs of oyster mushrooms along with environmental data from the farm where they were grown. The dataset includes about 16,000 images showing mushrooms at different stages of growth, captured both day and night, along with measurements of temperature, humidity, and air quality. This resource is designed to help scientists and farmers develop computer programs that can automatically identify mushrooms, determine if they’re ready to harvest, and predict growth patterns.

Multi-Organism Composites: Combined Growth Potential of Mycelium and Bacterial Cellulose

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Scientists combined two biological materials—mycelium (fungal roots) and bacterial cellulose—to create new sustainable composites. Through a series of experiments, they found these organisms could grow together successfully when using knitted fabric as a scaffold. The main challenge was preventing mold contamination when both organisms were alive, but the resulting materials showed strong attachment and diverse functional possibilities. This research could lead to new eco-friendly materials for architecture and design.

Fungal Species: Oyster mushroom (Pleurotus species)

A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications

Multi-Organism Composites: Combined Growth Potential of Mycelium and Bacterial Cellulose