Results 71 to 80 of about 7,696 (200)

Pixel‐level supervision resolves overlap: Benchmarking YOLOv12 segmentation for accurate multi‐cluster dry bean stand counting from time series unoccupied aerial systems imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract An agronomic trait such as stand count is important for cultivar development and crop management practices. Manually counting the number of plants is time consuming, labor‐intensive, and prone to error. The use of unoccupied aerial systems (UAS)‐collected red, green, blue (RGB) imagery in conjunction with advanced deep learning and image ...
Aliasghar Bazrafkan, Valerio Hoyos‐Villegas   +1 more
wiley   +1 more source

Estimasi Pengukuran Panjang Udang Litopenaeus Vannamei Menggunakan Algoritma Yolov8 Dan Perhitungan Jarak Euclidean

Jurnal Kelautan Tropis
Cultivation of Litopenaeus vannamei shrimp is an important fishery commodity in Indonesia. Providing the right amount of feed is crucial for optimal shrimp growth. The amount of feed given greatly depends on the measurement of shrimp length.
Erwin Adriono, Novita Auliya, Risma Septiana   +2 more
doaj   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source

Underwater small objects detection based on self-attention and improved pyramid network

Shenzhen Daxue xuebao. Ligong ban
Addressing the challenges of limited feature information and decreased detection accuracy in underwater small object detection tasks due to underwater environmental effects, we propose an underwater small object detection algorithm SF-Bi-YOLOv8 based on ...
DU Ruishan, WANG Zishan, MENG Lingdong, JING Yuanguang   +3 more
doaj   +1 more source

Comparative performance of next-Gen YOLO models for leaf health classification in ornamental species [PDF]

BIO Web of Conferences
Automated plant disease detection has become an essential application of deep learning, supporting early diagnosis and effective crops and ornamental plant management. Recent advancements in the You Only Look Once (YOLO) family of object detection models
Chowdhuri Swati, Banerjee Sriparna, Mondal Tiyasha, Som Sayan, Debnath Shuvankar   +4 more
doaj   +1 more source

LaZeTrack: An open‐source object detection algorithm to detect and track 2‐day‐old zebrafish motor touch responses

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Zebrafish are a model organism used for the study of vertebrate development, disease, and drug discovery. Two‐day old zebrafish exhibit burst swimming behavior that can be elicited by a light touch to the tail. Motor touch responses are frequently video‐recorded and later analyzed by hand.
Adrien Lacroix, Gary Alan Barclay Armstrong   +1 more
wiley   +1 more source

Application of YOLOv8 Algorithm for Coral Reef Disease Detection as an Effort to Prevent Marine Habitat Damage in Batam

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Research in 2019 in Batam City showed that out of 19 coral reef fisheries support facilities, 16 were declared not good. Coral reef damage increased from 36.28% to 39.44%.
Rifa'atul Mahmudah Burhan, Refli Noviardi, M Abrar Masril, Firmansyah   +3 more
doaj   +1 more source

A multi‐source fusion and dynamic verification framework for scientific knowledge graph construction: Methods, evaluation, and applications

AI Magazine, Volume 47, Issue 2, Summer 2026.
Abstract The exponential growth of scientific literature—over 2.5 million papers and 3.5 million patents annually—poses critical challenges for knowledge discovery. To address these, we propose SCIMKG (Scientific Knowledge Graph), a framework for constructing scientific knowledge graphs via multi‐source heterogeneous multi‐source.
Erxi Zhu, Yuan Hu
wiley   +1 more source

Depth-YOLO-based defect detection algorithm for semiconductor bonding leads

工程科学学报
Wire bonding, which is a critical step in integrated circuit packaging, interconnects various components and chips to ensure appropriate circuit functionality. Quality inspection directly affects the product yield rates.
Naigong YU, Ao LI, Yi YANG
doaj   +1 more source

Advances and Challenges in Machine Learning‐based Image Analysis for Monitoring and Predicting Organic Crystal Formation

Aggregate, Volume 7, Issue 6, June 2026.
This review explores the application of machine learning‐based image analysis technology in four major organic crystallization tasks, providing a reference for subsequent research in the corresponding fields. ABSTRACT Manual crystallization experiments have always been challenging, requiring extensive process development expertise and often resulting ...
Tianqi Ma, Yating Qu, Chenxian Guan, Hang Yin, Wenmian Yang, Shing Fung Chow, Henry Hoi Yee Tong, Defang Ouyang, Zhuyifan Ye   +8 more
wiley   +1 more source