🌾 Nucleus of Studies and Research in Experimentation and Plant Breeding (NEPEM)
Welcome to the official Hugging Face organization for NEPEM, a research group from the Federal University of Santa Catarina (UFSC), Brazil.
We specialize in applying cutting-edge Artificial Intelligence and Remote Sensing to advance sustainable agriculture. Our work is centered on the genetic improvement and field experimentation of functional crops (such as linseed and sunflower) and the development of high-throughput digital phenotyping models.
🔬 What You'll Find Here
This organization hosts the open-source models, applications, and datasets developed by our researchers. We aim to provide accessible tools for the global AgriTech and plant science community.
Models (/models): AI models trained for critical agricultural tasks:
- Image Classification: Identifying plant diseases, conformation, dimensions, nutrient deficiencies, and stress conditions.
- Image Segmentation: Measuring leaf area, seedlings, counting plants/flowers, or segmenting crop rows.
- Predictive Models: Forecasting yield or performance based on genetic and environmental data.
Spaces (/spaces): Interactive applications and demos. Use our models directly in your browser to:
- Analyze your own field, drone, or lab images.
- Test our digital phenotyping tools in real-time.
Datasets (/datasets): Curated datasets from our field experiments, ready for training new models.
🎯 Our Core Mission
- Genetic Improvement: Developing new plant varieties with superior traits (yield, disease resistance, climate adaptation) using innovative selection and envirotyping techniques.
- Digital Phenotyping: Applying AI and Remote Sensing for precise, large-scale, and longitudinal plant data collection.
- Application Development: Creating open-source digital tools for classification, segmentation, and plant breeding support.
- Field Experimentation: Conducting real-world trials to evaluate genotype performance and validate our models.
🔗 Find Us