Results 91 to 100 of about 17,346 (205)
Abstract Fruit size, shape, color, and percent fruit rot are important quality traits for breeding cranberry (Vaccinium macrocarpon Ait.). Image analysis can be used to measure these traits, but affordable hardware for standardized image capture and integrated user‐friendly software pipelines are lacking.
Jeffrey L. Neyhart +8 more
wiley +1 more source
Real-Time Long-Distance Ship Detection Architecture Based on YOLOv8
Long-distance detection of maritime ships is pivotal for the development of intelligent collision avoidance systems. Despite significant advancements in target detection achieved through deep learning, the identification of long-distance ships poses a ...
Zihao Chen +4 more
core +1 more source
Federated Learning and Blockchain-Based Collaborative Framework for Real-Time Wild Life Monitoring
Effective wildlife monitoring in hilly and rural areas can protect communities and diminish human-wildlife conflicts. A collaborative framework may overcome challenges like inadequate data integrity and security, declining detection accuracy over time ...
Jagannathan Preetha +3 more
doaj +1 more source
Lightweight Object Detection Algorithm for Electric Meter Calibration Line
In the industrial production line scenario, target detection technology with visual information has become a new hotspot for intelligent production, providing decision‑making information for fault detection and elimination.
DONG Xianguang +8 more
doaj +1 more source
Abstract Lodging in sorghum (Sorghum bicolor (L.) Moench) presents a significant challenge for plant breeders due to the trade‐off between lodging resistance and grain yield. Manually measuring lodging across thousands of plots is time‐consuming, expensive, and error‐prone, making selection for lodging resistance challenging in breeding programs ...
Srinivasa Reddy Mothukuri +8 more
wiley +1 more source
BACKGROUND/AIMS: This study presents a methodology for detecting keratoconus using pre-trained convolutional neural network (CNN) models. Five models were evaluated, namely, Xception, InceptionV3, ResNet152, InceptionResNetV2, and EfficientNetV2S ...
Muhammed Sideeq Anwar, Emre Özbilge
doaj +1 more source
Abstract Blueberry (Vaccinium spp.) is among the most consumed soft fruits and an important source of health‐promoting compounds. Among the key traits driving selection in breeding programs, yield is the most important. The standard way to measure yield is harvesting and weighing the total number of berries, a process that is laborious, expensive ...
Matheus M. Suela +5 more
wiley +1 more source
WASTEWISE: AI-POWERED WASTE EDUCATION FOR ELEMENTARY STUDENTS USING YOLOV8 AND ESP32-CAM
The growing volume of global waste poses a significant challenge for effective waste management, particularly in developing countries where awareness and practices around waste sorting remain limited. This study aims to enhance elementary school students'
Kenny Aldi, Yan Rianto
doaj +1 more source
Overview of AI‐powered surveillance technologies, applications, challenges, limitations, and deployment considerations. ABSTRACT Artificial intelligence (AI) has rapidly transformed smart surveillance systems, significantly leveraging technologies such as deep learning, computer vision, and adaptive monitoring.
Tanzila Kehkashan +7 more
wiley +1 more source
YOLOv8-SAB: Terahertz Image Detection Network Based on Shuffle Attention and YOLOv8
The limited accuracy of detecting small objects with current AI algorithm is becoming prominent under background of security check using low-resolved terahertz images.
Zhongmin Wang +6 more
core +1 more source

