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Updates every hour. Last Updated: 7-Oct-2025 13:11 ET (7-Oct-2025 17:11 GMT/UTC)
Irish scientists pioneer breakthrough forensic test to recover fingerprints from ammunition casing
Maynooth UniversityA pioneering new test that can recover fingerprints from ammunition casing, once thought nearly impossible, has been developed by scientists at Ireland's Maynooth University. They have developed a unique electrochemical method which can visualise fingerprints on brass casings, even after they have been exposed to the high temperature conditions experienced during gunfire.
- Journal
- Forensic Chemistry
Genomic map reveals keys to boosting flowering Chinese cabbage yields
Nanjing Agricultural University The Academy of ScienceFlowering Chinese cabbage, a staple leafy vegetable across Asia, has undergone decades of breeding to improve adaptability, productivity, and quality.
- Journal
- Horticulture Research
Unsupervised AI network separates wood and leaves in 3D forest scans
Nanjing Agricultural University The Academy of ScienceA research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data labeling.
- Journal
- Plant Phenomics
Fractal-based 3D modeling delivers high-fidelity tree reconstructions
Nanjing Agricultural University The Academy of ScienceA research team has developed an innovative three-dimensional (3D) tree modeling method that dramatically improves accuracy in estimating tree structure and volume.
- Journal
- Plant Phenomics
New imaging approach unlocks high-precision wetland nutrient monitoring
Nanjing Agricultural University The Academy of ScienceA research team introduces the constrained PROSAIL-PRO spectra matching (CPSM) approach, which transforms unmanned aerial vehicle (UAV) multispectral data into hyperspectral-like signals spanning 400–2500 nm.
- Journal
- Plant Phenomics
Deep learning model reveals genetic keys to wheat freeze tolerance
Nanjing Agricultural University The Academy of ScienceA research team has developed FreezeNet, a lightweight deep learning model that uses smartphone-captured images to accurately assess freeze injury in wheat seedlings.
- Journal
- Plant Phenomics
Imaging sugar beet disease: MRI and PET reveal hidden damage from SBR
Nanjing Agricultural University The Academy of ScienceA research team has combined magnetic resonance imaging (MRI) and positron emission tomography (PET) to non-invasively track how the sugar beet disease known as syndrome “basses richesses” (SBR) damages taproot structure and disrupts sugar distribution.
- Journal
- Plant Phenomics
Expanding the reach of leaf spectroscopy: Toward universal models for plant trait prediction
Nanjing Agricultural University The Academy of ScienceA research team has demonstrated that spectroscopy combined with partial least squares regression (PLSR) can accurately estimate plant leaf traits, but models built at one site often fail elsewhere.
- Journal
- Plant Phenomics
Radar-based control of a helical microswimmer in 3-dimensional space with dynamic obstacles
Beijing Institute of Technology Press Co., LtdA research paper by scientists at The Chinese University of Hong Kong proposed a 3D radar-based control scheme that realizes the navigated locomotion of microswimmers in 3D space with multiple static and dynamic obstacles.
The new research paper, published on Jun. 2 in the journal Cyborg and Bionic Systems, presented a 3D hierarchical radar with a motion sphere and a detection sphere is firstly developed. Using the radar-based avoidance approach, the desired motion direction for the microswimmer to avoid obstacles can be obtained, and the coarse-to-fine search is used to decrease the computational load of the algorithm. Three navigation modes of the microswimmer in 3D space with dynamic conditions are realized by the radar-based navigation strategy that combines the global path planning algorithm and the radar-based avoidance approach.