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Physics-informed machine learning and Vision Transformer for predicting photosynthetic traits, biomass, and grain yield in winter wheat using UAV multispectral imagery
Predicting crop photosynthetic traits from UAV imagery requires frameworks that connect canopy-level spectral observations to …
Jingcheng Zhang
,
Prof. Dr. Kang Yu
DOI
An Intelligent Data-Driven Framework for Optimizing Wheat Management toward High Yields with Reduced Nitrogen Inputs
Achieving a balance between high and stable wheat yields and reduced nitrogen inputs remains a major challenge for sustainable …
Ziyang Liu
,
Davide Cammarano
,
Prof. Dr. Kang Yu
,
Wei Li
,
Yue Li
,
Xiaojun Liu
,
Yongchao Tian
,
Yan Zhu
,
Weixing Cao
,
Qiang Cao
DOI
Chlorophyll-Based Canopy Photosynthesis Model: Development and Global Synergy Analysis
Accurate estimation of gross primary production (GPP) is essential for understanding the carbon cycle in terrestrial ecosystems. …
Dr. Dong Li
,
Anatoly A. Gitelson
,
Adam P. Schreiner-McGraw
,
Ankur R. Desai
,
Yan Zhu
,
Weixing Cao
,
Prof. Dr. Kang Yu
DOI
Phenotyping maize stay green traits via in situ leaf hyperspectral reflectance sensing
Advancements in stay-green phenotyping are increasingly utilizing hyperspectral sensing technology to assess crop response under …
Hany El Sharawy
,
Yan-Cheng Lin
,
Claude Urbany
,
Chris-Carolin Schön
,
Prof. Dr. Kang Yu
DOI
A Transferable MMD-CWT Framework for Accurate Cross-Regional Prediction of Maize Leaf Nitrogen Using Hyperspectral Sensing
Accurate prediction of leaf nitrogen concentration (LNC) is crucial for optimizing nitrogen (N) management; however, the robustness of …
Yuzhe Tang
,
Fei Li
,
Dr. Haibo Yang
,
PD. Dr. Yuncai Hu
,
Prof. Dr. Kang Yu
DOI
UAV multispectral to hyperspectral reconstruction based on deep learning and radiative transfer models for crop nitrogen monitoring
Accurate and timely monitoring of canopy nitrogen (N) status is essential for precision farming and understanding N dynamics in …
Jie Wang
,
Dr. Anirudh Belwalkar
,
Sebastian T. Meyer
,
Fei Li
,
Ittai Herrmann
,
Prof. Dr. Kang Yu
DOI
Monitoring Phosphorus Content in Winter Wheat Using Feature Fusion and Feature Selection from UAV Remote Sensing Imagery
The rapid and accurate quantification of plant phosphorus (P) content is essential for the real-time assessment of crop P status and …
Yiming Su
,
Jingxia Wang
,
Yunma Yang
,
Junfang Yang
,
Jing Zhang
,
Huimin Yang
,
YongKang Duan
,
ShuoYang Han
,
Prof. Dr. Kang Yu
,
Shaohui Huang
,
Liangliang Jia
DOI
A Drone Imagery Dataset for Semantic Segmentation of Urban Garden Ground Covers in Biodiversity Studies
Abstract Urban gardens promote urban biodiversity by providing diverse ground covers that support habitat provision, …
Yasamin Afrasiabian
,
Chenghao Lu
,
Dr. Anirudh Belwalkar
,
Hany El Sharawy
,
Xiaoxin Song
,
Ying Yuan
,
Fei Wu
,
Xiang Su
,
Elisa Van Cleemput
,
Monika Egerer
,
Prof. Dr. Kang Yu
DOI
Meta-analysis of environmental-induced changes in optimal nitrogen rate of wheat at regional scale in China
Effective nitrogen (N) management is crucial for the sustainability of wheat production in China, yet achieving a balance between high …
Ying Meng
,
Xueqin Liu
,
Yue Li
,
Linghan Huang
,
Xu Tian
,
Syed Tahir Ata-Ul-Karim
,
Prof. Dr. Kang Yu
,
Hainie Zha
,
Xiaojun Liu
,
Yongchao Tian
,
Yan Zhu
,
Weixing Cao
,
Qiang Cao
DOI
A Closed-Form Equation Linking Soil Moisture and Evaporation
Estimating evaporation from surface soil moisture data poses a persistent challenge for modeling the hydrological cycle. Deriving a …
Ali Mokhtari
,
Morteza Sadeghi
,
Arman Ahmadi
,
Joseph Verfaillie
,
Prof. Dr. Kang Yu
DOI
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