Results 91 to 100 of about 74,098 (264)

Uncertainty Mixture of Experts Model for Long Tail Crop Type Mapping

Remote Sensing
Accurate global crop type mapping is essential to ensure food security. However, large-scale crop-type mapping still poses challenges to commonly used classification strategies.
Qiuye Lu, Wenzhi Zhao, Jiage Chen, Xuehong Chen, Liqiang Zhang   +4 more
doaj   +1 more source

Photo‐Switchable Molecular Module Programming PET Biodegradation in Aquatic Environments

Advanced Functional Materials, EarlyView.
We address the plastic durability paradox by integrating an itaconic acid–derived pyrrolidone module into polymer backbones. Sunlight in water triggers Norrish Type I ring‐opening and hydrophilization, enabling rapid biodegradation into nontoxic minerals.
Mohammad Asif Ali, Jixin Zheng, Satoshi Wakai, Jie Liu, Hidetaka Nomaki, Misato Tsukatani, Noriyuki Isobe, Jingcheng Sang, Yuriko Aoki, Hideo Okamura, Daisuke Sasaki, Chiaki Ogino, Yuzo Yamazaki, Takashi Nishikaze, Kenji Takada, Maiko K. Okajima, Tatsuo Kaneko   +16 more
wiley   +1 more source

A Class-Aware Unsupervised Domain Adaptation Framework for Cross-Continental Crop Classification with Sentinel-2 Time Series

Remote Sensing
Accurate and large-scale crop mapping is crucial for global food security, yet its performance is often hindered by domain shift when models trained in one region are applied to another.
Shuang Li, Li Liu, Jinjie Huo, Shengyang Li, Yue Yin, Yonggang Ma   +5 more
doaj   +1 more source

Covalent Functionalization of 2D Semiconductors: A Roadmap to Advanced Electronic Devices

Advanced Functional Materials, EarlyView.
This Review presents recent advances in the covalent functionalization strategies for two‐dimensional semiconductors and their implementation in modern technologies. Layered materials are modified through diverse molecular chemistries (e.g., thiols, diazonium salts, alkyl halides, and electron‐deficient species) to tailor their surface properties ...
Ramiro Quirós‐Ovies, Bin Han, Paolo Samorì   +2 more
wiley   +1 more source

Application of the Thermo-RAdiometric Normalization of Crop Observations (TRANCO) Back in Time: An Assessment of the Potential for Crop Time-Series Generalization to Past Years Using Wheat as a Proxy

Remote Sensing
Crop type maps are essential for food security. However, there is a gap in information for worldwide maps that, at the same time, cover a wide period of time. The inability of classification algorithms to generalize information across years is one of the
Juanma Cintas, Emilio Guirado, Jaime Martínez-Valderrama, Italo Moletto-Lobos, Carmen López-Zayas, Tamara Escamilla, Inbal Becker-Reshef, Javier Cabello, Maria Jacoba Salinas-Bonillo, Belén Franch   +9 more
doaj   +1 more source

Additively Manufactured Geometry‐Reconfigurable Soft Neural Probes With Monolithic Multifunctionality

Advanced Functional Materials, EarlyView.
A geometry‐reconfigured additive manufacturing strategy converts planar printed soft materials into soft compact neural probes with integrated hydrogel electrodes and microfluidic channels. The resulting NeuroMAP platform enables scalable multichannel recording, localized chemical delivery, stable in vivo electrophysiological recording, and reduced ...
Hyunjin Lee, Xinyi Wang, Sirui Li, Jihyang Park, Hyunseok Lee, Jianting Yao, Kedar Narayan, Yuqi Wang, Jiashu Ren, Yueqi Deng, Salahuddin Ahmed, Denver I. Greenawalt, Archana Pandiyan, Loganathan Veeramuthu, Chi‐Ching Kuo, Tao Zhou   +15 more
wiley   +1 more source

Cross-Modal Attention for Multi-Source Remote Sensing Crop Classification under Cloud Occlusion and Complex Field Scenarios

智慧农业
[Objective]Accurate and timely crop mapping is fundamental for agricultural management, yield forecasting, and food security assessment. However, in mountainous and hilly regions characterized by frequent cloud cover and highly fragmented farmland, crop ...
WU Chenxu, ZUO Haolong, LI Gang
doaj   +1 more source

To crop or not to crop: Comparing whole‐image and cropped classification on a large dataset of camera trap images

IET Computer Vision
Abstract Camera traps facilitate non‐invasive wildlife monitoring, but their widespread adoption has created a data processing bottleneck: a camera trap survey can create millions of images, and the labour required to review those images strains the resources of conservation organisations.
Tomer Gadot, Stefan Istrate, Hyungwon Kim 0002, Dan Morris 0001, Sara Beery, Tanya Birch, Jorge Ahumada   +6 more
openaire   +3 more sources

Microfluidic Nano‐Assembly of Red‐Blood‐Cell (RBC) Lipids and Components for Engineering Extracellular Vesicles

Advanced Healthcare Materials, EarlyView.
Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj, Xilal Y. Rima, Kim T. Nguyen, Courtney Culkins, Nana Boateng, Jacob Doon‐Ralls, Alejandro Bresolin, Xin Huang, Hong Li, Vahedi Amid, Ajeet Pal Singh, Dharti Shantaram, Anastasiia Amari, Mangesh D. Hade, Nicholas R. Merriam, Zachary D. Schultz, Scott Q. Harper, Nizar Y. Saad, Setty M. Magaña, Willa A. Hsueh, Rachel E. Kopec, Blaise R. Kimmel, Andre F. Palmer, Eduardo Reátegui   +23 more
wiley   +1 more source

A multi-dimensional pyramid strategy for limited sample classification of hyperspectral cropland imagery

Frontiers in Plant Science
Hyperspectral crop classification is often challenged by substantial intra-class spectral variability, high inter-class similarity, and the scarcity of high-quality labeled samples. These issues frequently lead to insufficient feature fusion or excessive
Mingchao Yang
doaj   +1 more source