217 citations as recorded by crossref.

1. Underestimated future flash drought risks in major grain-producing areas over China X. Zhang et al.
2. Developing a New Method to Identify Flowering Dynamics of Rapeseed Using Landsat 8 and Sentinel-1/2 J. Han et al.
3. Asian Rice Calendar Dynamics Detected by Remote Sensing and Their Climate Drivers J. Zhang et al.
4. The Improved Winter Wheat Yield Estimation by Assimilating GLASS LAI Into a Crop Growth Model With the Proposed Bayesian Posterior-Based Ensemble Kalman Filter H. Huang et al.
5. Monsoon Asia Rice Calendar (MARC): a gridded rice calendar in monsoon Asia based on Sentinel-1 and Sentinel-2 images X. Zhao et al.
6. Moderately reducing N input to mitigate heat stress in maize Y. Zhou et al.
7. Spatiotemporal variation of growth–stage specific concurrent climate extremes and their impacts on rice yield in southern China R. Sun et al.
8. Tracking paddy rice yield using solar-induced chlorophyll fluorescence and a mechanistic light-response model in the middle and lower reaches of the Yangtze River R. Cai et al.
9. Mapping annual center-pivot irrigated cropland in Brazil during the 1985–2021 period with cloud platforms and deep learning X. Liu et al.
10. Multi-Source Data Modeling of the Spatial Distribution of Winter Wheat Yield in China from 2000 to 2015 D. Han et al.
11. Effects of Different Winter Wheat (Triticum aestivum L.) Varieties Addressing the Agriculture Climate Interactions in Temperature Regions of Yield F. Yu et al.
12. Combining multi-indicators with machine-learning algorithms for maize yield early prediction at the county-level in China M. Cheng et al.
13. Long history paddy rice mapping across Northeast China with deep learning and annualresult enhancement method Z. Zhang et al.
14. Mapping the harvest area of a comprehensive set of crop types in China from 1990 to 2020 at a 1-km resolution K. Dai et al.
15. Enhancing Maize Yield Simulations in Regional China Using Machine Learning and Multi-Data Resources Y. Zou et al.
16. Consistency and uncertainty of remote sensing-based approaches for regional yield gap estimation: A comprehensive assessment of process-based and data-driven models J. Wang et al.
17. Satellite-Derived Estimates on Methane Emissions From Rice Paddies Across China X. Zhang et al.
18. Understanding vegetation phenology responses to easily ignored climate factors in china's mid-high latitudes Q. Wang et al.
19. County-level intensity of carbon emissions from crop farming in China during 2000–2019 C. Li et al.
20. Exploring China's food security evolution from a local perspective X. Liang et al.
21. Seasonal variations and driving mechanisms of CO2 fluxes over a winter-wheat and summer-maize rotation cropland in the North China plain Z. Yue et al.
22. TPE-CatBoost: An adaptive model for soil moisture spatial estimation in the main maize-producing areas of China with multiple environment covariates J. Yu et al.
23. ECHO: an integrated model fusing remote sensing and AI for dynamic water resource assessment Y. Zhang et al.
24. Revealing Climate-Induced Patterns in Crop Yields and the Water-Energy-Food-Carbon Nexus: Insights from the Pearl River Basin C. Ye et al.
25. A Reconstruction of Irrigated Cropland Extent in China from 2000 to 2019 Using the Synergy of Statistics and Satellite-Based Datasets M. Bai et al.
26. Mapping the spatiotemporal patterns of tillage practices across Chinese croplands with Google Earth Engine Y. Wang et al.
27. Development of a high-spatial-resolution annual emission inventory of greenhouse gases from open straw burning in Northeast China from 2001 to 2020 Z. Song et al.
28. A global open-source dataset of monthly irrigated and rainfed cropped areas (MIRCA-OS) for the 21st century E. Kebede et al.
29. ChinaRiceCalendar – seasonal crop calendars for early-, middle-, and late-season rice in China H. Li et al.
30. Mapping annual 10-m maize cropland changes in China during 2017–2021 X. Li et al.
31. National Scale Maize Yield Estimation by Integrating Multiple Spectral Indexes and Temporal Aggregation Y. He et al.
32. Weather Index Insurance Can Offset Heat‐Induced Rice Losses Under Global Warming J. Zhang et al.
33. ChinaWheatYield30m: a 30 m annual winter wheat yield dataset from 2016 to 2021 in China Y. Zhao et al.
34. Wheat yield predictions at a county and field scale with deep learning, machine learning, and google earth engine J. Cao et al.
35. Rising surface ozone as a hazardous air pollutant undermines winter wheat productivity in China (2000–2021) C. Du et al.
36. Remote sensing-based maize growth process parameters revel the maize yield: a comparison of field- and regional-scale M. Cheng et al.
37. Drought risk assessment for early maize growth in Northeast China based on a reconstructed phenological dataset X. Wang et al.
38. Ensemble learning based on remote sensing data for monitoring agricultural drought in major winter wheat-producing areas of China L. Wang et al.
39. Potential of remote sensing data-crop model assimilation and seasonal weather forecasts for early-season crop yield forecasting over a large area Y. Chen & F. Tao
40. Temperature thresholds of extreme heat-induced yield loss in maize and soybean reveal geographic heterogeneity across the Northern Hemisphere Q. Zhao et al.
41. Winter Wheat Phenology Dynamics Based on MODIS Time-Series Imagery and Time Lag Effects to Climate D. Han et al.
42. Improving regional wheat yields estimations by multi-step-assimilating of a crop model with multi-source data Z. Zhang et al.
43. Spatiotemporal heterogeneity of artificial water replenishment in chinese crop rotation systems over two decades Z. Liu et al.
44. Early forecasting and spatial typologies indicate rice yield growth potential in Yangtze River Delta X. Wang et al.
45. Concurrent Precipitation Extremes Modulate the Response of Rice Transplanting Date to Preseason Temperature Extremes in China Y. Liu et al.
46. High-resolution distribution map of apple orchards in China based on multisource data W. Xie et al.
47. Assessment of Crop Yield in China Simulated by Thirteen Global Gridded Crop Models D. Yin et al.
48. The 500-meter long-term winter wheat grain protein content dataset for China from multi-source data X. Xu et al.
49. Should phenological information be applied to predict agronomic traits across growth stages of winter wheat? Y. Zhao et al.
50. A continuous learning framework based on physics-guided deep learning for crop phenology simulation J. Ou et al.
51. Irrigation plays significantly different roles in influencing hydrological processes in two breadbasket regions Y. Wang et al.
52. Ozone pollution threatens the production of major staple crops in East Asia Z. Feng et al.
53. A review of remote sensing estimation of crop water productivity: definition, methodology, scale, and evaluation M. Cheng et al.
54. A UAV-based hybrid approach for improving aboveground dry biomass estimation of winter wheat Y. Zhao et al.
55. Crop-specific biogenic volatile organic compound emissions in China Y. Zhou et al.
56. Global data on fertilizer use by crop and by country C. Ludemann et al.
57. Improving the matching degree between remotely sensed phenological dates and physiological growing stages of soybean by a dynamic offset-adjustment strategy S. Chen et al.
58. Applying double cropping and interactive irrigation in the North China Plain using WRF4.5 Y. Fan et al.
59. Sun-induced chlorophyll fluorescence is superior to satellite vegetation indices for predicting summer maize yield under drought conditions Y. Wang et al.
60. Bioenergy potential from agricultural by-product in 2030: An AI-based spatial analysis and climate change scenarios in a Chinese region Z. Shi et al.
61. Ozone pollution induced-yield loss of major staple crops in China and effects from COVID-19 H. Liu et al.
62. Estimating evapotranspiration and yield of wheat and maize croplands through a remote sensing-based model X. Wang et al.
63. Extraction of maize growth stages in the Sanjiang Plain of China from 2003 to 2022 and their spatio-temporal changes in response to meteorological variables H. Ye et al.
64. Spatial–Temporal Heterogeneity Responses of Three Major Crop Yields to Climate Change in China During 2000–2018 L. Pu & M. Ma
65. Quantitative Assessment of Drought Risk in Major Rice-Growing Areas in China Driven by Process-Based Crop Growth Model T. Lin et al.
66. Spatial-temporal assessment and optimization of ecological cropland utilization: A case study of China's Huang-Huai-Hai region L. Yang et al.
67. Reduced actual vapor pressure exerts a significant influence on maize yield through vapor pressure deficit amid climate warming Y. Zhang et al.
68. Rapid and Automated Mapping of Crop Type in Jilin Province Using Historical Crop Labels and the Google Earth Engine F. Zhi et al.
69. Vulnerability of Wheat Crops to Flooding Outweighs Benefits from Precision Farming and Agroecology Practices: A Case Study in Central Italy E. Santangelo et al.
70. From data to decisions: the use of explainable AI to forecast soybean yield in major producing countries X. Wang et al.
71. High-resolution daily air temperature estimation over China: An explainable stratified stacking ensemble approach M. Cheng et al.
72. A coupled framework for estimating pollutant emissions from open burning of specific crop residue: A case study for wheat Y. Zhou et al.
73. AsiaRiceYield4km: seasonal rice yield in Asia from 1995 to 2015 H. Wu et al.
74. Time series sUAV data reveal moderate accuracy and large uncertainties in spring phenology metric of deciduous broadleaf forest as estimated by vegetation index-based phenological models L. Pan et al.
75. Predicting China’s Maize Yield Using Multi-Source Datasets and Machine Learning Algorithms L. Miao et al.
76. Incorporating climate data with machine learning can improve rice phenology estimation Y. Liu et al.
77. Mapping irrigation regimes in Chinese paddy lands through multi-source data assimilation Y. Wang et al.
78. The divergent response of vegetation phenology to urbanization: A case study of Beijing city, China Y. Zhang et al.
79. Prediction of winter wheat yield at county level in China using ensemble learning Y. Zhang et al.
80. Long-term large-scale winter wheat yield estimation: A Bayesian temporal convolutional network S. Wang et al.
81. Blaming the wind? The impact of wind turbine on bird biodiversity L. Meng et al.
82. Have the agricultural production systems in the North China Plain changed towards to climate smart agriculture since 2000? Y. Xin & F. Tao
83. Integration of prognostic sowing and harvesting schemes to enhance crop dynamic growth simulation in Noah-MP-Crop model F. Wang et al.
84. Attribution of the 2023 extreme spring hot drought event in Southwest China: meteorological and agricultural perspectives W. Liang et al.
85. Effects of climate change, crop planting structure, and agricultural management on runoff, sediment, nitrogen and phosphorus losses in the Hai-River Basin since the 1980s N. Ding et al.
86. A large-scale, long time-series (1984‒2020) of soybean mapping with phenological features: Heilongjiang Province as a test case X. Li et al.
87. A review of global gridded cropping system data products K. Kim et al.
88. Evaluation and Analysis of the County-Level Sustainable Development Process in Guangxi, China in 2014–2020 L. Shao et al.
89. Mapping rapeseed planting areas using an automatic phenology- and pixel-based algorithm (APPA) in Google Earth Engine J. Han et al.
90. Cropland expansion delays vegetation spring phenology according to satellite and in-situ observations G. Zhao et al.
91. Searching for “Win-Win” solutions for food-water-GHG emissions tradeoffs across irrigation regimes of paddy rice in China Z. Tian et al.
92. Improved ammonia emission inventory of fertilizer application for three major crops in China based on phenological data Y. Zhao et al.
93. Mapping the Spatio-Temporal Distribution of Fall Armyworm in China by Coupling Multi-Factors Y. Huang et al.
94. A dataset of social-economic and environmental parameters at township and county levels in Guangxi Zhuang Autonomous Region L. SHAO et al.
95. The Accuracy, Spatial Consistency, and Impact Factors of Global Cropland Products in Karst Landscapes: A Case Study of the Yunnan–Guizhou Plateau Y. Xia et al.
96. Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning Y. Ren et al.
97. Stage-specific climate risks to winter wheat in China: actionable pathways to reconcile yield loss and protein gains C. Liang et al.
98. A 30 m Resolution Distribution Map of Maize for China Based on Landsat and Sentinel Images R. Shen et al.
99. Winter Wheat Yield Estimation Based on Sparrow Search Algorithm Combined with Random Forest: A Case Study in Henan Province, China X. Shi et al.
100. Multi-model ensemble of CMIP6 projections for future extreme climate changes in wheat production regions of China Z. Shi et al.
101. Paddy rice and winter wheat identification based on Sentinel-2 imagery with semi-supervised learning (SSL) X. Wei et al.
102. A biophysical model to simulate seasonal variations of soil respiration in agroecosystems in China S. Chen et al.
103. Simulating the effects of optimizing sowing date and variety shift on maize production at finer scale in northeast China under future climate C. Zhang et al.
104. Estimating Field-Scale Soil Organic Matter in Agricultural Soils Using UAV Hyperspectral Imagery C. Xia & Y. Zhang
105. Mapping annual 10 m rapeseed extent using multisource data in the Yangtze River Economic Belt of China (2017–2021) on Google Earth Engine W. Liu & H. Zhang
106. Crop production on the Chinese Loess Plateau under 1.5 and 2.0 °C global warming scenarios D. Wang et al.
107. Estimating Maize Yield from 2001 to 2019 in the North China Plain Using a Satellite-Based Method C. Hai et al.
108. The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data J. Han et al.
109. Climatic impacts induced by winter wheat irrigation over North China simulated by the nonhydrostatic RegCM4.7 J. Wu et al.
110. A 500-m Agricultural Drought Impact Dataset in China’s Main Grain Region: Toward Impact-Based Drought Monitoring J. Shi et al.
111. Actual and Potential Yield Gaps of Double Cropping Rice in Hainan Island, China During 2000–2020 L. Pu et al.
112. Spatiotemporal patterns of winter wheat phenology and its climatic drivers based on an improved pDSSAT model Y. Luo et al.
113. Assessing Vegetation Canopy Growth Variations in Northeast China L. Lu et al.
114. Sentinel-2 Görüntüleriyle Çeltiğin Fenolojik Yapısının Belirlenmesi: İpsala Örneği A. Şimşek & E. Tunç Görmüş
115. Projecting the impact of climate change and elevated CO2 concentration on rice irrigation water requirement in China B. Sun et al.
116. Mapping tea plantation area using phenology algorithm, time-series Sentinel-2 and Landsat images H. Xia et al.
117. Assessing Spatial Variability of Boro Rice (Oryza Sativa) Phenology Across Different Climatic Zones in Bangladesh Using Sentinel-1 and -2 Time Series Data A. Hoque et al.
118. Adapting to climate change precisely through cultivars renewal for rice production across China: When, where, and what cultivars will be required? L. Zhang et al.
119. Mapping ecological resource use and supply-consumption difference in China from 2000 to 2020 F. Lyu et al.
120. Projected future changes in extreme climate indices affecting rice production in China using a multi-model ensemble of CMIP6 projections X. Chen et al.
121. An integrated approach to obtain high-precision regional root water uptake maps Y. Liu et al.
122. Impacts of climate change on winter wheat and summer maize dual-cropping system in the North China Plain J. Li & H. Lei
123. Increased Grain Crop Production Intensifies the Water Crisis in Northern China X. Li et al.
124. Evaluating the 2019 NARO-APCC Joint Crop Forecasting Service Yield Forecasts for Northern Hemisphere Countries T. Iizumi et al.
125. A 30 m annual maize phenology dataset from 1985 to 2020 in China Q. Niu et al.
126. Balancing agricultural expansion and groundwater sustainability: Insights from GRACE and hydrological models C. Xu et al.
127. Physics-guided deep learning for crop yield estimation B. Cao et al.
128. Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model Q. Mi et al.
129. Seasonal agricultural irrigation water deficit in northern China: pattern, trend and causality X. Li et al.
130. Spatial-temporal variation of satellite-based gross primary production estimation in wheat-maize rotation area during 2000–2015 W. Xie et al.
131. Mapping winter fallow arable lands in Southern China by using a multi-temporal overlapped area minimization threshold method X. Wang et al.
132. The challenge of chilling injury amid shifting maize planting boundaries: A case study of Northeast China S. Guga et al.
133. Improving regional wheat drought risk assessment for insurance application by integrating scenario-driven crop model, machine learning, and satellite data Z. Li et al.
134. Patterns and causes of winter wheat and summer maize rotation area change over the North China Plain Z. Liu et al.
135. Feature-based algorithm for large-scale rice phenology detection based on satellite images X. Zhao et al.
136. Generating the 500 m Global Satellite Vegetation Productivity Phenology Product from 2001 to 2020 B. Ren et al.
137. The impact of human activities on land productivity in desertified areas of northern China Q. Wang et al.
138. Improving the simulation of maize growth using WRF-Crop model based on data assimilation and local maize characteristics L. Bao et al.
139. Fuzzy clustering for the within-season estimation of cotton phenology V. Sitokonstantinou et al.
140. The combined effects of VPD and soil moisture on historical maize yield and prediction in China F. Zhao et al.
141. Spatio-temporal patterns and drivers of irrigation water requirement in mainland China X. Shi & W. Zhu
142. Climate-Based Estimation of Multi-Cropping Rice Transplanting Dates Using a Geographical Random Convolutional Kernel Transform H. Zhuang et al.
143. Rice Yield Estimation Using Multi-Temporal Remote Sensing Data and Machine Learning: A Case Study of Jiangsu, China Z. Liu et al.
144. A novel approach to detect the spring corn phenology using layered strategy Y. Ma et al.
145. Temporal and spatial patterns of extreme heat on wheat in China under climate change scenarios H. Chen et al.
146. Updated loss factors and high-resolution spatial variations for reactive nitrogen losses from Chinese rice paddies Y. Shang et al.
147. Maize tasseling date forecast from canopy height time series estimated by UAV LiDAR data Y. Liu et al.
148. Spatiotemporal Patterns of Climate-Vegetation Regulation of Soil Moisture with Phenological Feedback Effects Using Satellite Data H. Yin et al.
149. Integrating Multi-Source Data for Rice Yield Prediction across China using Machine Learning and Deep Learning Approaches J. Cao et al.
150. Improving Winter Wheat Yield Forecasting Based on Multi-Source Data and Machine Learning Y. Sun et al.
151. Mitigating climate change and ozone pollution will improve Chinese food security S. Li et al.
152. Combining mathematical models and machine learning algorithms to predict the future regional-scale actual transpiration by maize Y. Liu et al.
153. An automated sample generation method by integrating phenology domain optical-SAR features in rice cropping pattern mapping J. Yang et al.
154. FARM: A fully automated rice mapping framework combining Sentinel-1 SAR and Sentinel-2 multi-temporal imagery Y. Gao et al.
155. A novel soybean mapping index within the global optimal time window G. Xiao et al.
156. A daily and 500 m coupled evapotranspiration and gross primary production product across China during 2000–2020 S. He et al.
157. Unraveling the complex interactions between ozone pollution and agricultural productivity in China's main winter wheat region using an interpretable machine learning framework C. Du et al.
158. Integrating satellite-derived climatic and vegetation indices to predict smallholder maize yield using deep learning L. Zhang et al.
159. Quantitative prediction of dynamic HTO migration behavior in the soil and non-negligible evapotranspiration effect B. Nie et al.
160. Food-water-land-ecosystem nexus in typical Chinese dryland under different future scenarios M. Shi et al.
161. Assessment of bioenergy plant locations using a GIS-MCDA approach based on spatio-temporal stability maps of agricultural and livestock byproducts: A case study Z. Shi et al.
162. Improving the sustainability of China's wheat production through a life-cycle food-energy-water-carbon nexus framework W. Song et al.
163. A scalable machine learning approach for predicting wheat growth stages with a large national dataset H. Ledvinka et al.
164. Evaluating the Ability of the Sentinel-1 Cross-Polarization Ratio to Detect Spring Maize Phenology Using Adaptive Dynamic Threshold Y. Ma et al.
165. Understanding the Multiscale Relationships Between Grain Yields of Maize in China and Influencing Factors via Multiscale Geographically Weighted Regression Model Y. Wang et al.
166. Impacts of changes in climate extremes on maize yields over Mainland China S. Deng et al.
167. A dataset of the planting areas of three staple crops with a spatial resolution of 1 km in China during 2009–2015 Q. MEI et al.
168. Towards operational tracking of weekly crop progress using VIIRS land surface phenology product across the continental United States N. Malik et al.
169. Phenomenon of Non-Grain Production of Cultivated Land Has Become Increasingly Prominent over the Last 20 Years: Evidence from Guanzhong Plain, China Z. Zhu et al.
170. Integrating data assimilation, crop model, and machine learning for winter wheat yield forecasting in the North China Plain H. Zhuang et al.
171. ChinaCropSM1 km: a fine 1 km daily soil moisture dataset for dryland wheat and maize across China during 1993–2018 F. Cheng et al.
172. Human activities are the key driver of water erosion changes in northeastern China Q. Tang et al.
173. Retrospective Study on the Seasonal Forecast-Based Disease Intervention of the Wheat Blast Outbreaks in Bangladesh K. Kim & E. Choi
174. Inter-Continental Transfer of Pre-Trained Deep Learning Rice Mapping Model and Its Generalization Ability L. Yang et al.
175. Development and Evaluation of Remote Sensing-Derived Relative Growth Rate (RGR) for Rice Yield Estimation Z. Zhao et al.
176. Assessment of extreme climate stress across China’s maize harvest region in CMIP6 simulations X. Chen et al.
177. Designing wheat cultivar adaptation to future climate change across China by coupling biophysical modelling and machine learning F. Tao et al.
178. Impact of Construction Land Transition on Staple Crop Diversity in China X. Yao et al.
179. Advancement and Applications of Forest Remote Sensing in Korea: Past, Present, and Future Perspectives K. Kim et al.
180. High-resolution crop yield and water productivity dataset generated using random forest and remote sensing M. Cheng et al.
181. PSeqNet: A crop phenology monitoring model accounting for phenological associations Q. Tian et al.
182. Severe ozone pollution drives physiological stress in winter wheat: Evidence from satellite-based chlorophyll fluorescence analysis R. Wu et al.
183. Heat stress may cause a significant reduction of rice yield in China under future climate scenarios Q. Sun et al.
184. Exploring the climate signal in the variation of winter wheat quality records in the North China Plain W. Zhou et al.
185. City-level decoupling between livestock and crop production and its effect on fertilizer usage: Evidence from China X. Kang et al.
186. When floods heal or harm after drought: Three archetypes of maize photosynthetic response to drought‑to‑flood transitions across China P. Li et al.
187. Mechanisms of meteorological drought propagation to agricultural drought in China: insights from causality chain Z. You et al.
188. Mapping of Phenological Traits in Northeast China Maize (Zea mays L.) X. Wang et al.
189. Gaps between Rice Actual and Potential Yields Based on the VPM and GAEZ Models in Heilongjiang Province, China L. Pu et al.
190. A knowledge-informed machine learning (KIML) approach to disentangle single- and double-season rice yields and attainable yield gaps in the mixed cropping systems J. Wang et al.
191. An Approach to Refining MODIS LAI Data Using a Fitting Scale Factor Time Series J. Tang et al.
192. Unveiling spatial and temporal characteristics of cooling effects of rice paddy expansion in Northeast China T. Yang et al.
193. Characterizing spatiotemporal patterns of crop phenology across North America during 2000–2016 using satellite imagery and agricultural survey data Y. Yang et al.
194. Changes in Extreme Climate Events in Rice-Growing Regions Under Different Warming Scenarios in China J. Chou et al.
195. Compound drought and hot stresses projected to be key constraints on maize production in Northeast China under future climate C. Zhang et al.
196. Simulating the effects of low-temperature stress on wheat biomass growth and yield L. Xiao et al.
197. Improving wheat nitrogen use efficiency through a management zone-based optimization strategy by integrating crop model and remote sensing Y. Li et al.
198. GCPE: The global dataset of crop phenological events for agricultural and earth system modeling A. MORI et al.
199. Land surface phenology detections from multi-source remote sensing indices capturing canopy photosynthesis phenology across major land cover types in the Northern Hemisphere L. Zhou et al.
200. NESEA-Rice10: high-resolution annual paddy rice maps for Northeast and Southeast Asia from 2017 to 2019 J. Han et al.
201. Monitoring and Assessing Gross Primary Productivity of Paddy Rice (Oryza sativa L.) Cropland in Southern China Between 2000 and 2015 H. Wang et al.
202. Identifying the spatiotemporal changes of annual harvesting areas for three staple crops in China by integrating multi-data sources Y. Luo et al.
203. Mapping and Analyzing Winter Wheat Yields in the Huang-Huai-Hai Plain: A Climate-Independent Perspective Y. Zhao et al.
204. Unveiling spatially explicit soil nitrogen mineralization potential in Northeast China: A meta-analysis coupled by experimental validation Y. Liu et al.
205. Planning maize hybrids adaptation to future climate change by integrating crop modelling with machine learning L. Zhang et al.
206. High-Throughput Estimation of Crop Traits: A Review of Ground and Aerial Phenotyping Platforms X. Jin et al.
207. Wheat Yield Robust Prediction in the Huang-Huai-Hai Plain by Coupling Multi-Source Data with Ensemble Model under Different Irrigation and Extreme Weather Events Y. Zhao et al.
208. From rice planting area mapping to rice agricultural system mapping: A holistic remote sensing framework for understanding China's complex rice systems Z. Zhao et al.
209. A Stepwise Approach for Monitoring Spring Maize Phenology Using Fused Multisource Remote Sensing Data Y. Ma et al.
210. Exploring the Drivers of Sentinel-2-Derived Crop Phenology: The Joint Role of Climate, Soil, and Land Use S. Bajocco et al.
211. Decoding soil-topography buffering of maize yield spatial heterogeneity in extreme precipitation year using Sentinel-2 data and SHAP interpretability C. Xia et al.
212. A twenty-year dataset of high-resolution maize distribution in China Q. Peng et al.
213. Complexity and interactions of climatic variables affecting winter wheat photosynthesis in the North China Plain R. Wu et al.
214. Sugarcane Phenology Retrieval in Heterogeneous Agricultural Landscapes Based on Spatiotemporal Fusion Remote Sensing Data Y. Yang et al.
215. Long-Term Vegetation Phenology Changes and Responses to Preseason Temperature and Precipitation in Northern China R. Zhang et al.
216. Parcel-Based Rice Identification and Uncertainty Analysis Under Multiscale Consistency Constraints M. Li et al.
217. Deciphering the capricious precipitation response: irrigation impact in the North China Plain Y. Fan et al.