Results 181 to 190 of about 19,743 (267)

FDA-YOLO: A Feature Fusion and Attention-Based Network for Multiscale Tomato Maturity Detection in Real-World Agricultural Scenarios. [PDF]

Sensors (Basel)
Shi J, Luo W, Wang X, Guo J, Ren H.
europepmc   +1 more source

YOLO

openaire   +1 more source

Stayin' alive: Strategies to reduce predation on target species are context dependent

Ecosphere, Volume 17, Issue 8, August 2026.
Abstract Restoration and conservation efforts often aim to reduce predation, particularly by reducing interactions with nonnative predators in heavily disturbed and invaded ecosystems. For Chinook salmon Oncorhynchus tshawytscha, a highly valued but declining fishery, potentially useful freshwater rearing habitat restoration strategies may include ...
Avery E. Scherer, Elisabeth Cordner, Rocko A. Brown, Joseph E. Merz   +3 more
wiley   +1 more source

DAER-YOLO: Defect-Aware and Edge-Reconstruction Enhanced YOLO for Surface Defect Detection of Varistors. [PDF]

J Imaging
Xie W, Yao S, Zhang T, Qiu G, Li D, Luo F, Fan Y.   +6 more
europepmc   +1 more source

Research on Weakly Supervised Deep Learning Model for Semantic Segmentation of Pest and Disease Regions in Durian Blind Spots

eFood, Volume 7, Issue 4, August 2026.
Durian is a high‐value economic crop, which presents challenges in the orchards, such as complex terrain, significant canopy shading, and blind spots in manual inspections. These blind spots often become the key sources of pest and disease spread, which requires the drone‐based intelligent monitoring solution capable of operating stably in complex ...
Ruipeng Tang, Loy Chee Luen, Jian Rui Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip   +4 more
wiley   +1 more source

DLR-YOLO: A High-Accuracy Lightweight Object Detector for Complex Underground Coal Mine Environments. [PDF]

Sensors (Basel)
Cai X, Wang R, Zhang J, Zeng J.
europepmc   +1 more source

Enhancing Agricultural Management With Internet of Things and Deep Learning

Engineering Reports, Volume 8, Issue 8, August 2026.
The proposed smart IoT‐based farming framework integrates IoT sensors, machine learning, and intelligent automation for crop recommendation, soil fertility analysis, weed detection, pest detection, and smart irrigation. The system combines real‐time sensor data with AI‐driven decision‐making to improve crop productivity, optimize water and fertilizer ...
Chinmaya Prasad Mohanty, Aparna Mohanty, G. Sumathi   +2 more
wiley   +1 more source

Lightweight Visual Detection and Dynamic Tracking for Pigeon Egg Inspection in Caged Pigeon Farming. [PDF]

Sensors (Basel)
Li Q, Cheng Y, Xi J, He Z, Ye Q, Zhu C, Kang R, Liu L.   +7 more
europepmc   +1 more source

AWT‐YOLO: Lightweight Rail Surface Defect Detection Algorithm Based on YOLOv11 Improvement

Engineering Reports, Volume 8, Issue 8, August 2026.
The proposed improvement route and method architecture related to this study. ABSTRACT Railway safety and operational reliability critically depend on timely and accurate inspection of rail infrastructure. Nevertheless, existing visual neural network‐based inspection methods frequently fail to achieve an optimal balance between detection accuracy and ...
Lu Liu, Yichen Sun, Jiahao Wang, Zixin Wang, Chenhao Hu   +4 more
wiley   +1 more source

RDA-YOLO: A robust dynamic adaptive network for tiny insulator defect detection. [PDF]

PLoS One
Zhou X, He J, Cheng C, Zhang G.
europepmc   +1 more source