Provision/generation of synthetic datasets for robust deep learning models in farming
Danish Technological Institute (DTI)
Location
Denmark
Arable farming
Food processing
Greenhouse
Horticulture
Livestock farming
Tree Crops
DTI’s synthetic dataset generation service enables agri-tech companies to develop more reliable and scalable deep learning (DL) models for farming applications. By simulating diverse farming scenarios, including rare or hard-to-capture conditions such as extreme weather, pest infestations, and various crop growth stages, DTI addresses critical challenges like data scarcity and class imbalance. Additionally, DTI augments real-world datasets by introducing artificial variations in lighting, angles, and occlusions, closely mimicking real-world environmental factors. This service empowers DL models to generalise better, handle edge cases effectively, and perform robustly under practical farming conditions, ultimately supporting agri-tech innovation and scalability.
Collection of test data
Data analysis
Data augmentation
Provision of datasets
