1
When floods heal or harm after drought: Three archetypes of maize photosynthetic response to drought‑to‑flood transitions across China

von Peng Li ; Sen Chen ; Liang He ; et al.

Agricultural Water Management, Vol 329, Iss , Pp 110381- (2026)

Schlagworte: Compound hydroclimatic extremes; Gross primary productivity; Compound resistance; Soil moisture; SHAP analysis; Agriculture (General); S1-972; Agricultural industries; HD9000-9495
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2
Reducing nitrogen use under optimal irrigation and planting date can sustain sugarcane yield and gross margin under climate change

von Shijin Yao ; Bin Wang ; De Li Liu ; et al.

Agricultural Water Management, Vol 326, Iss , Pp 110160- (2026)

Schlagworte: Sugarcane; Nitrogen reduction; Climate change; APSIM-Sugarcane model; Adaptive strategies; Australia; Agriculture (General); S1-972; Agricultural industries; HD9000-9495
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3
Feature replacement and fusion enhance the accuracy of canopy spectral monitoring models for winter wheat leaf water content

von Zhigang Wang ; Sha Yang ; Qing Liang ; et al.

International Journal of Applied Earth Observations and Geoinformation, Vol 146, Iss , Pp 105110- (2026)

Schlagworte: Leaf water content; Canopy hyperspectral reflectance; Spectral preprocessing; Wavelength selection; Feature optimization; Machine Learning; Physical geography; GB3-5030; Environmental sciences; GE1-350
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4
Optimizing nitrogen topdressing for winter wheat by coupling remote sensing data with the DSSAT model

von Yu Zhao ; Zeyang Wen ; Chao Wang ; et al.

Frontiers in Plant Science, Vol 16 (2025)

Schlagworte: winter wheat; data assimilation; nitrogen topdressing; remote sensing; crop growth model; Plant culture; SB1-1110
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5
Estimation of Winter Wheat SPAD Values by Integrating Spectral Feature Optimization and Machine Learning Algorithms

von Yufei Wang ; Xuebing Wang ; Jiang Sun ; et al.

Agronomy, Vol 16, Iss 4, p 489 (2026)

Schlagworte: winter wheat; hyperspectral remote sensing; SPAD; characteristic bands; machine learning; Agriculture
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6
Detection of kidney bean leaf spot disease based on a hybrid deep learning model

von Yiwei Wang ; Qianyu Wang ; Yue Su ; et al.

Scientific Reports, Vol 15, Iss 1, Pp 1-22 (2025)

Schlagworte: Medicine; Science
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7
Macroaggregate–Microaggregate Interactions Drive Soil Carbon and Nitrogen Stabilization Under Rotational Tillage in Dryland Farming

von Sha Yang ; Zhigang Wang ; Jin Tong ; et al.

Agriculture, Vol 16, Iss 2, p 264 (2026)

Schlagworte: dryland farming; tillage management; soil aggregates; carbon and nitrogen retention; rotational tillage; straw return; Agriculture (General); S1-972
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8
Hyperspectral Yield Estimation of Winter Wheat Based on Information Fusion of Critical Growth Stages

von Xuebing Wang ; Yufei Wang ; Haoyong Wu ; et al.

Agronomy, Vol 16, Iss 2, p 186 (2026)

Schlagworte: yield estimation; hyperspectral remote sensing; deep forest; feature fusion; precision agriculture; Agriculture
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9
Organic Fertilizer and Deep Tillage Synergistically Regulate Soil Physicochemical Properties and Aggregate-Associated Distribution of Carbon and Nitrogen in Dryland Foxtail Millet Fields

von Zhihong Wang ; Zhigang Wang ; Tingyue Huo ; et al.

Agriculture, Vol 15, Iss 23, p 2419 (2025)

Schlagworte: soil pH buffering capacity; soil bulk density; soil three-phase; mechanically stable aggregate; water-stable aggregate; Agriculture (General); S1-972
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10
A new method for rapid construction of multi-band vegetation index

von Chenbo Yang ; Juan Bai ; Hui Sun ; et al.

International Journal of Applied Earth Observations and Geoinformation, Vol 140, Iss , Pp 104601- (2025)

Schlagworte: Winter wheat; Vegetation index; Growth physiological parameters; Genetic algorithm; Physical geography; GB3-5030; Environmental sciences; GE1-350
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11
Estimation of generalized soil structure index based on differential spectra of different orders by multivariate assessment

von Sha Yang ; Zhigang Wang ; Chenbo Yang ; et al.

International Soil and Water Conservation Research, Vol 12, Iss 2, Pp 313-321 (2024)

Schlagworte: Three-phase soil; Generalized soil structure index; Hyperspectral; Differential spectrum; Regression learning model; Engineering (General). Civil engineering (General); TA1-2040
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12
A Staged Biorefinery of Moso Bamboo to Produce Fermentable Sugar, Furfural, and High-Quality Lignin by Integrating a Solvent and a Catalyst Deep Eutectic Solvent

von Zhang, Meichen ; Wang, Xia ; Guo, Zongwei ; et al.

ACS Sustainable Chemistry & Engineering. 13(33):13709-13717
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13
Hyperspectral estimation of chlorophyll density in winter wheat using fractional-order derivative combined with machine learning

von Chenbo Yang ; Meichen Feng ; Juan Bai ; et al.

Frontiers in Plant Science, Vol 15 (2025)

Schlagworte: hyperspectral; chlorophyll density; fractional-order derivative; competitive adaptive reweighted sampling; machine learning; Plant culture; SB1-1110
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14
Ensemble Learning-Driven and UAV Multispectral Analysis for Estimating the Leaf Nitrogen Content in Winter Wheat

von Yu Han ; Jiaxue Zhang ; Yan Bai ; et al.

Agronomy, Vol 15, Iss 7, p 1621 (2025)

Schlagworte: winter wheat; leaf nitrogen content; multispectral; ensemble learning; Agriculture
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15
Analyzing protein concentration from intact wheat caryopsis using hyperspectral reflectance

von Xiaomei Zhang ; Xiaoxiang Hou ; Yiming Su ; et al.

Chemical and Biological Technologies in Agriculture, Vol 10, Iss 1, Pp 1-10 (2023)

Schlagworte: Grain protein; Hyperspectral technology; Multivariate models; Spectral preprocessing; Wheat; Agriculture
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16
Machine learning with augmented data for predicting bentonite swelling pressure

von Shi, Wenyan ; Zhang, Feng ; Li, Changdong ; et al.

Bulletin of Engineering Geology and the Environment: The official journal of the IAEG. 85(7)
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17
Potential Impacts of Climate Change on the Spatial Distribution Pattern of Naked Oats in China

von Zhenwei Yang ; Xujing Yang ; Yuheng Huang ; et al.

Agronomy, Vol 15, Iss 2, p 362 (2025)

Schlagworte: naked oats; climate change; CMIP6; MaxEnt; spatial distribution; Agriculture
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18
Simulation of X-band Radar Sea Clutter Based on Different Wave Spectrum Models

von Liu, Meichen ; Luo, Feng ; Peng, Enchao ; et al.

2024 Photonics & Electromagnetics Research Symposium (PIERS) Photonics & Electromagnetics Research Symposium (PIERS), 2024. :1-8 Apr, 2024
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19
Research on the Differences between Ocean Wave Parameters Retrieved Based on ITTC Spectra and PM Spectra

von Liu, Meichen ; Sun, Daozhong ; Luo, Feng ; et al.

2024 Photonics & Electromagnetics Research Symposium (PIERS) Photonics & Electromagnetics Research Symposium (PIERS), 2024. :1-7 Apr, 2024
- Zum Volltext in IEEE Xplore
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20
Untargeted Metabolomics and Soil Community Metagenomics Analyses Combined with Machine Learning Evaluation Uncover Geographic Differences in Ginseng from Different Locations

von Cui, Yuan ; Pan, Daian ; Feng, Jiabao ; et al.

Journal of Agricultural and Food Chemistry. 72(39):21922-21934
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21
Study on hyperspectral estimation model of soil organic carbon content in the wheat field under different water treatments

von Chenbo Yang ; Meichen Feng ; Lifang Song ; et al.

Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)

Schlagworte: Medicine; Science
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22
Hyperspectral estimation on the photosynthetic phenotype of winter wheat under drought stress using machine learning algorithms

von Chen, Yanxia ; Yan, Xiaobin ; Huo, Tingyue ; et al.

Precision Agriculture: An International Journal on Advances in Precision Agriculture. 27(1)
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23
Non-destructive monitoring of maize LAI by fusing UAV spectral and textural features

von Xinkai Sun ; Zhongyu Yang ; Pengyan Su ; et al.

Frontiers in Plant Science, Vol 14 (2023)

Schlagworte: UAV; multispectral images; leaf area index; spectral feature; texture feature; maize; Plant culture; SB1-1110
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24
Estimation of Millet Aboveground Biomass Utilizing Multi-Source UAV Image Feature Fusion

von Zhongyu Yang ; Zirui Yu ; Xiaoyun Wang ; et al.

Agronomy, Vol 14, Iss 4, p 701 (2024)

Schlagworte: crop growth monitoring; UAV remote sensing; feature fusion; machine learning; Agriculture
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25
Modeling of the potential geographical distribution of naked oat under climate change

von Mingxing Qin ; Xinyue Gao ; Meichen Feng ; et al.

Frontiers in Plant Science, Vol 13 (2023)

Schlagworte: climate change; distribution; naked oat; North China; Maxent; Plant culture; SB1-1110
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