Provision/generation of synthetic datasets for robust deep learning models in farming

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.