the ai ecosystem of hesse · the registerlive·the pulse →
research/field
field
Climate, Energy & Environment
AI for the planet — remote sensing, climate modelling, renewable energy and environmental resource management.
152
papers
8
researchers
1
venues
most-cited papers
152 totalClimate, Energy & EnvironmentCarbon Neutrality
Ammonia combustion and emissions in practical applications: a review12 authors
117 citations
Climate, Energy & EnvironmentComputers and Electronics in Agriculture
Hybridization of process-based models, remote sensing, and machine learning for enhanced spatial predictions of wheat yield and quality9 authors
35 citations
Climate, Energy & EnvironmentWater Resources Research
Can eXplainable AI Offer a New Perspective for Groundwater Recharge Estimation?—Global‐Scale Modeling Using Neural Network3 authors
27 citations
Climate, Energy & EnvironmentEnvironmental Science & Technology
Robust Assessments of Lithium Mining Impacts Embodied in Global Supply Chain Require Spatially Explicit Analyses6 authors
21 citations
Climate, Energy & EnvironmentEnvironmental Microbiome
Interpretable machine learning decodes soil microbiome’s response to drought stress6 authors
20 citations
Climate, Energy & EnvironmentThe Science of The Total Environment
Nutrient circularity from waste to fertilizer: A perspective from LCA studies2 authors
18 citations
Climate, Energy & EnvironmentRemote Sensing
Is Your Training Data Really Ground Truth? A Quality Assessment of Manual Annotation for Individual Tree Crown Delineation3 authors
17 citations
Climate, Energy & EnvironmentAdvanced Quantum Technologies
Nonlinear Interferometry: A New Approach for Imaging and Sensing3 authors
14 citations
Climate, Energy & EnvironmentIEEE Access
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs Based on Statistical Error Modeling5 authors
12 citations
Climate, Energy & EnvironmentGeoderma
High-resolution soil temperature and soil moisture patterns in space, depth and time: An interpretable machine learning modelling approach6 authors
12 citations
Climate, Energy & EnvironmentNature Communications
Technology availability, sector policies and behavioral change are complementary strategies for achieving net-zero emissions14 authors
12 citations
Climate, Energy & EnvironmentResults in Engineering
From vineyard to vision: Multi-domain analysis and mitigation of grape cluster detection failures in complex viticultural environments3 authors
12 citations
who works on it
- Thomas WallisProfessor · TU Darmstadt2 papers
- Bernhard SickProfessor · Kassel2 papers
- Oskar Von StrykProfessor · TU Darmstadt1 papers
- Georgia ChalvatzakiPI · TU Darmstadt1 papers
- Kristian KerstingPI · TU Darmstadt1 papers
- Devendra DhamiProfessor · TU Darmstadt1 papers
- Kawa NazemiProfessor · h_da1 papers
- Ulrich SchwaneckeProfessor · RheinMain1 papers