Results 51 to 60 of about 1,506 (128)

Tomato Pedicel Picking-Point Localization via Improved YOLOv8n-EED-Seg and RGB-D Fusion

Agriculture
Accurate and rapid localization of tomato pedicel picking points presents a significant challenge for automated harvesting, due to factors such as occlusion by dense foliage, overlapping fruits, variable lighting conditions, and the slender morphology of
Liping Wu, Lilin Liu, Dongdong Teng
doaj   +1 more source

Optimal Refund Mechanism With Consumer Learning

The RAND Journal of Economics, Volume 57, Issue 1, Page 205-224, Spring 2026.
ABSTRACT This article studies the optimal refund mechanism when an uninformed buyer learns about their valuation over time. We consider various refund mechanisms including simple return policies (no returns or free returns), and stochastic return policies, which allow the buyer to keep the product with some probability upon receiving a refund.
Qianjun Lyu
wiley   +1 more source

Automated quantification of fine root production from minirhizotron image time series

Methods in Ecology and Evolution, Volume 17, Issue 3, Page 758-767, March 2026.
Abstract Plant root growth accounts for a major part of the net primary production in grassland and forest ecosystems and influences the global carbon and nutrient cycles. Measuring the production of roots is inherently difficult, prone to inconsistencies and time‐consuming. Notably, there are currently no methods yet to automate this task.
Alexander Gillert, Patrick Möhl, Bo Peters, Lionel Safar, Julia Bebout, Stuart Schwab, Erika Hiltbrunner, Jürgen Kreyling, Tara Javidi, Elsa Cleland   +9 more
wiley   +1 more source

Grapevine Branch Recognition and Pruning Point Localization Technology Based on Image Processing

Applied Sciences
The identification of branches and bud points is the key to intelligent pruning of dormant grapevine branches and precise positioning of the pruning point on the branch is an important prerequisite for robotic arm pruning.
Zhangnan Chen, Yaxiong Wang, Siyuan Tong, Chongchong Chen, Feng Kang   +4 more
doaj   +1 more source

GPR120 is an important inflammatory regulator in the development of osteoarthritis

Arthritis Research & Therapy, 2018
Background The aim of this study was to investigate the regulatory role of G-protein coupled receptor 120 (GPR120) in the development and progression of osteoarthritis (OA).
Yuanfeng Chen, Dan Zhang, Ki Wai Ho, Sien Lin, Wade Chun-Wai Suen, Huantian Zhang, Zhengang Zha, Gang Li, Po Sing Leung   +8 more
doaj   +1 more source

AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring

Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu, Yijun Xiang, Xutao Feng, Mark Wilson   +3 more
wiley   +1 more source

A Continuous Perspective-Based Strategy for Deep Learning in Semantic Segmentation for Remote Sensing Fault Mapping

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Faults are critical geological features visible in remote sensing imagery, playing essential roles in earthquake studies, resource exploration, and disaster prevention.
Shubing Ouyang, Weitao Chen, Fengjian Ge
doaj   +1 more source

Physical mapping and candidate gene prediction of fertility restorer gene of cytoplasmic male sterility in cotton

BMC Genomics, 2018
Background Cytoplasmic male sterility (CMS) is a maternally inherited trait failing to produce functional pollen. It plays a pivotal role in the exploitation of crop heterosis.
Cunpeng Zhao, Guiyuan Zhao, Zhao Geng, Zhaoxiao Wang, Kaihui Wang, Suen Liu, Hanshuang Zhang, Baosheng Guo, Junyi Geng   +8 more
doaj   +1 more source

Issue Information

Information &Functional Materials, Volume 3, Issue 2, Page 57-58, June 2026.
No abstract is available for this article.
wiley   +1 more source

An in situ image-based phenotyping system for hydroponic maize seedling roots based on DB-UNet and customized skeleton-based analysis

Frontiers in Plant Science
Root phenotype is a key agronomic trait affecting maize growth and development. In situ observation and high-precision root phenotypic analysis provide important support for monitoring maize growth.
Yurong Guo, Yue Huang, Chenxu Zhu, Luxu Tian, Jingxuan Zhang, Yimeng Li, Yitong Liu, Hongbin Wu, Hongbin Wu, Xiuqing Fu, Xiuqing Fu   +10 more
doaj   +1 more source