Tech & Engineering
Updates every hour. Last Updated: 17-Dec-2025 16:11 ET (17-Dec-2025 21:11 GMT/UTC)
Machine learning accelerates biochar research to cut carbon emissions and recycle waste
Biochar Editorial Office, Shenyang Agricultural UniversityPeer-Reviewed Publication
New imaging platform tracks plant stress in real time
Nanjing Agricultural University The Academy of ScienceA research team has developed a novel high-throughput phenotyping platform, the Multispectral Automated Dynamic Imager (MADI), to monitor plant growth and stress in real time.
- Journal
- Plant Phenomics
Smart phenotyping predicts cold damage risk in strawberries
Nanjing Agricultural University The Academy of ScienceA research team demonstrates how advanced plant phenotyping and machine learning can quantify the hidden physiological signals of cold stress, transforming them into an accurate early-warning system.
- Journal
- Plant Phenomics
Bovine colostrum emerges as a natural booster for immunity, disease resistance, and healthy aging
Maximum Academic PressA research team has reviewed the immunomodulatory potential of bovine colostrum (BC), highlighting its rich composition of bioactive compounds such as immunoglobulins, lactoferrin, and growth factors that enhance immune defense, reduce inflammation, and support tissue repair.
- Journal
- Animal Advances
Double harvest: Vertical solar panels and crops thrive side by side
Aarhus UniversityPeer-Reviewed Publication
A new study from Aarhus University shows that bifacial, vertical solar panels in agricultural fields can generate clean electricity without reducing crop yields. And research shows that they are better received by the public than traditional solar parks. The research is part of the Hyperfarm project, which is funded by the EU's research and innovation framework programme, Horizon 2020.
- Journal
- Energy Nexus
OpenAI, DeepSeek, and Google vary widely in identifying hate speech
University of PennsylvaniaPeer-Reviewed Publication
Neil Fasching and Yphtach Lelkes of the Annenberg School for Communication have found dramatic differences in how large language models classify hate speech, with especially large variations for language about certain demographic groups, raising concerns about bias and disproportionate harm.
- Funder
- Annenberg School for Communication