Results 91 to 100 of about 34,834 (234)
This study addresses the challenges of early recognition of fruit and vegetable diseases and pests in facility horticultural greenhouses and the difficulty of real-time deployment on edge devices, and proposes a lightweight cross-scale intelligent ...
Wenjie Hong +6 more
doaj +1 more source
A biomass‐derived additive synthesized from chitin, 3‐acetylamino‐5‐acetylfuran (3A5AF), resolves key stability issues such as uncontrolled dendrite growth, hydrogen evolution reaction, and corrosion of zinc anodes by reconstructing the solvation structure of the electrolyte and protecting the anode interface. ABSTRACT Aqueous zinc‐based batteries face
Bingbo Ni +5 more
wiley +1 more source
Pest infestations have always been a major factor affecting tea production. Real-time detection of tea pests using machine vision is a mainstream method in modern agricultural pest control.
Kunhong Li +7 more
doaj +1 more source
Pest-Net: Hierarchical Scaled Dot-Product Attention for Insect Pest Detection
Abstract Timely and precise insect pest detection is critical in areas with high agricultural intensity and climates that favor continuous pest activity. Traditional pest identification methods, such as manual inspection or expert guided analysis, are labor intensive and time consuming.
Vu Thinh Doan +4 more
openaire +1 more source
ARTP mutagenesis yielded Saccharopolyspora spinosa mutant D184 with improved extracellular nitrogen utilization. An integrated workflow of protease genetic manipulation, multi‐omics, and rational synergy design pinpointed a pepP‐clpP‐htpX synergistic triangular combination.
Duo Jin +9 more
wiley +1 more source
An ultrasoft yet tough organohydrogel (AQGL) with 5800% stretchability and 14.3 kPa modulus is developed via a novel molecular chain lubrication strategy. It features optical transparency, drying/freezing (−40°C) tolerance, antibacterial activity, conductivity, self‐healing, and adhesiveness.
Si Wang +9 more
wiley +1 more source
YOLO-LCE: A Lightweight YOLOv8 Model for Agricultural Pest Detection
Agricultural pest detection through image analysis is a key technology in automated pest-monitoring systems. However, some existing pest detection models face excessive model complexity.
Xinyu Cen, Shenglian Lu, Tingting Qian
doaj +1 more source
This study constructs a dual‐scale Ag‐based catalyst on CeO2 nanorods via a facet‐guided strategy. This catalyst can induce a cascaded orbital hybridization effect, which synergistically optimizes oxygen vacancy stability, CO desorption kinetics, and charge transfer efficiency.
Youjia Wang +6 more
wiley +1 more source
A plasmonic optoelectronic memristor based on Te nanowires‐Au nanoparticles/ι‐carrageenan enables IR‐programmed and visiblelight‐erased non‐volatile conductance. The all‐photonic write/erase scheme supports in‐sensor logic and real‐time motion detection in darkness.
Jingyao Bian +7 more
wiley +1 more source
MA-YOLO: A Pest Target Detection Algorithm with Multi-Scale Fusion and Attention Mechanism
Agricultural pest detection is critical for crop protection and food security, yet existing methods suffer from low computational efficiency and poor generalization due to imbalanced data distribution, minimal inter-class variations among pest categories,
Yongzong Lu, Pengfei Liu, Chong Tan
doaj +1 more source

