Deep learning framework using UAV imagery for multi-disease detection in cereal crops. [PDF]
Mahmood A +5 more
europepmc +1 more source
Dead Matter, Living Machines: Repurposing Crustaceans' Abdomen Exoskeleton for Bio‐Hybrid Robots
Crustacean exoskeletons, repurposed from food waste, are engineered into sustainable bending actuators combining biotic structure with synthetic control. The augmented exoskeletons achieve rapid and robust motion with lightweight body and can be used as part of robotic manipulators, grippers and swimmers.
Sareum Kim, Kieran Gilday, Josie Hughes
wiley +1 more source
Rootstock genotype shapes whole-plant 3-D architecture and biomass allocation in field-grown grapevines. [PDF]
Fichtl L, Steng K, Schnepf A, Friedel M.
europepmc +1 more source
Canopy Design Drives Photosynthetic Performance, Light Environment, and Fruit Quality in Peach (<i>Prunus persica</i> L. Batsch). [PDF]
Chatzieffraimidis I +4 more
europepmc +1 more source
PLFYNet-based edge-deployable detection system for Ginkgo biloba leaf diseases. [PDF]
Wang J, Gu S, Zhao M.
europepmc +1 more source
AI based real time disease diagnosis in plants using deep learning driven CNNs. [PDF]
Devarajan D +3 more
europepmc +1 more source
Enhanced wheat crop leaf disease classification using multi-level contrast enhancement and modified vision transformers. [PDF]
Haider I +5 more
europepmc +1 more source
Lightweight dual-stage feature refinement for black gram leaf disease classification using ConViTSE. [PDF]
Kiruthika MA, Gladston A, Nehemiah HK.
europepmc +1 more source

