University of Hohenheim

iCorn: A Methodological Framework for Multi-Label Disease Classification in Maize Using Uncurated Field Images

iCorn: Multi-Label Maize Disease Classification Framework Complete implementation of iCorn—a methodological framework for multi-label classification of maize leaf diseases from uncurated field images using deep learning, with production-ready mobile deployment. **Manuscript**: "i...

Anchors for Homology-Based Scaffolding

Homology-based scaffolding orders contigs based on conserved collinearity of homologous sequences across related species. Existing methods often rely on costly whole-genome alignments or show limited robustness when integrating multiple references. Here, we introduce an anchor-ba...

Predicting rainfed and irrigated yield responses under drought with soil-hydrological modelling and variety trials for economic evaluation

Abstract Agricultural droughts in many humid regions such as Southern Germany are projected to become more frequent and severe, leading to a substantial rise in irrigation demand to secure crop production. As a result, irrigation is becoming an increasingly important factor in ag...

Effects of Extraction Methods on Inulin, Fructooligosaccharides and Microbial Inulinase Production from Stevia rebaudiana

In this study, Stevia fractions (root, leaf, stem and their mixture) were used for inulin extraction using aqueous extraction, enzyme-assisted extraction and enzyme-assisted decanter extraction. The extracts were used as carbon sources in submerged (SmF) fermentation, whereas the...

An Adapted High-Pressure Homogenization Workflow Improves Recombinant β-Casein Recovery from Escherichia coli Inclusion Bodies

The efficient extraction and purification of recombinant β-casein from Escherichia coli is a crucial step in bioprocess engineering. This study evaluates an adapted high-pressure homogenization (HPH) workflow for recombinant β-casein recovery and compares it with osmotic shock (O...