138 citations as recorded by crossref.

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12. Constructing a 30m African Cropland Layer for 2016 by Integrating Multiple Remote sensing, crowdsourced, and Auxiliary Datasets M. Nabil et al. 10.1080/20964471.2021.1914400
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26. High-temperature indicators for capturing the impacts of heat stress on yield: lessons learned from irrigated wheat in the hot and dry environment of Sudan T. Iizumi et al. 10.3354/cr01709
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30. Variable climate suitability for wheat blast (Magnaporthe oryzae pathotype Triticum) in Asia: results from a continental-scale modeling approach C. Montes et al. 10.1007/s00484-022-02352-9
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32. Predicting habitat suitability for the soybean pod borer Leguminivora glycinivorella (Matsumura) using optimized MaxEnt models with multiple variables M. Yang et al. 10.1093/jee/toae167
33. Reduction in Crop Yield in Mexico Due to Ozone Associated with Emissions from Biomass Burning B. Rios & F. Estrada 10.1007/s11270-022-05873-6
34. Climate change mitigation in Zimbabwe and links to sustainable development D. Sithole et al. 10.1016/j.envdev.2023.100891
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37. A global clustering of terrestrial food production systems M. Jung et al. 10.1371/journal.pone.0296846
38. Estimating the global number and distribution of maize and wheat farms O. Erenstein et al. 10.1016/j.gfs.2021.100558
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43. Targeted sanctions, resource substitution, and violence against civilians: Localized evidence from African states J. Urtuzuastigui & O. Koren 10.1016/j.worlddev.2024.106606
44. Global agricultural trade and land system sustainability: Implications for ecosystem carbon storage, biodiversity, and human nutrition T. Kastner et al. 10.1016/j.oneear.2021.09.006
45. Cassava yield gap—A model-based assessment in Nigeria A. Srivastava et al. 10.3389/fsufs.2022.1058775
46. To what extent can agriculture be reshaped to address healthy and sustainable diets by boosting pulse production locally? L. Ricciardi et al. 10.1016/j.gfs.2023.100734
47. Uncertainty is more than a number or colour: Involving experts in uncertainty assessments of yield gaps R. Schils et al. 10.1016/j.agsy.2021.103311
48. Transformative adaptation and implications for transdisciplinary climate change research J. Hellin et al. 10.1088/2752-5295/ac8b9d
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51. Modelling the current and future potential distribution of the bean bug Riptortus pedestris with increasingly serious damage to soybean H. Zhang et al. 10.1002/ps.7053
52. Modeling and predicting the effects of climate change on cotton-suitable habitats in the Central Asian arid zone J. Mai & G. Liu 10.1016/j.indcrop.2022.115838
53. Spatio-Temporal Changes and its Driving Forces of Irrigation Water Requirements for Cotton in Xinjiang, China Q. Geng et al. 10.2139/ssrn.4142305
54. Climate adaptive rice planting strategies diverge across environmental gradients in the Indo-Gangetic Plains A. Urfels et al. 10.1088/1748-9326/aca5a2
55. Downscaling Administrative-Level Crop Yield Statistics to 1 km Grids Using Multisource Remote Sensing Data and Ensemble Machine Learning J. Pei et al. 10.1109/JSTARS.2024.3441252
56. Gridded 5 arcmin datasets for simultaneously farm-size-specific and crop-specific harvested areas in 56 countries H. Su et al. 10.5194/essd-14-4397-2022
57. Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges S. Liang et al. 10.1016/j.srs.2024.100152
58. Prediction of global wheat cultivation distribution under climate change and socioeconomic development X. Guo et al. 10.1016/j.scitotenv.2024.170481
59. Options for reducing a city's global biodiversity footprint – The case of food consumption in Vienna S. Matej et al. 10.1016/j.jclepro.2024.140712
60. Historical simulation of maize water footprints with a new global gridded crop model ACEA O. Mialyk et al. 10.5194/hess-26-923-2022
61. Spatial patterns and driving factor analysis of recommended nitrogen application rate for the trade-off between economy and environment for maize in China D. Liu et al. 10.1016/j.jenvman.2022.116099
62. Optimized irrigation and fertilization can mitigate negative CO2 impacts on seed yield and vigor of hybrid maize S. Chen et al. 10.1016/j.scitotenv.2024.175951
63. Climate-driven interannual variability in subnational irrigation areas across Europe W. Zhu & S. Siebert 10.1038/s43247-024-01721-z
64. Estimating local agricultural gross domestic product (AgGDP) across the world Y. Ru et al. 10.5194/essd-15-1357-2023
65. A global 5 km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth–Wallace model S. Sun et al. 10.5194/essd-15-4849-2023
66. Upwind moisture supply increases risk to water security J. Posada-Marín et al. 10.1038/s44221-024-00291-w
67. Evaluating the 2019 NARO-APCC Joint Crop Forecasting Service Yield Forecasts for Northern Hemisphere Countries T. Iizumi et al. 10.1175/WAF-D-20-0149.1
68. Multi-peril pathogen risks to global wheat production: A probabilistic loss and investment assessment Y. Chai et al. 10.3389/fpls.2022.1034600
69. Adaptation Strategy Can Ensure Seed and Food Production With Improving Water and Nitrogen Use Efficiency Under Climate Change S. Chen et al. 10.1029/2022EF002879
70. Twenty-meter annual paddy rice area map for mainland Southeast Asia using Sentinel-1 synthetic-aperture-radar data C. Sun et al. 10.5194/essd-15-1501-2023
71. Geographic distribution of feather δ34S in Europe V. Brlík et al. 10.1002/ecs2.4690
72. Enhanced trends in spectral greening and climate anomalies across Europe M. Kempf 10.1007/s10661-022-10853-8
73. Prospects for soybean production increase by closing yield gaps in the Northeast Farming Region, China J. Zhao et al. 10.1016/j.fcr.2023.108843
74. The effect of deep-tillage depths on crop yield: A global meta-analysis S. Huang et al. 10.17221/373/2022-PSE
75. Circular food system approaches can support current European protein intake levels while reducing land use and greenhouse gas emissions W. Simon et al. 10.1038/s43016-024-00975-2
76. Human arsenic exposure risk via crop consumption and global trade from groundwater-irrigated areas M. Alam et al. 10.1088/1748-9326/ac34bb
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83. Balancing photovoltaic development and cropland protection: Assessing agrivoltaic potential in China Z. Xia et al. 10.1016/j.spc.2024.08.001
84. Developing High-Resolution Crop Maps for Major Crops in the European Union Based on Transductive Transfer Learning and Limited Ground Data Y. Luo et al. 10.3390/rs14081809
85. Regional Differences in Control Operations during the 2019–2021 Desert Locust Upsurge R. Retkute et al. 10.3390/agronomy11122529
86. Climate change impact and adaptation of rainfed cereal crops in sub-Saharan Africa S. Alimagham et al. 10.1016/j.eja.2024.127137
87. Technical note: Surface fields for global environmental modelling M. Choulga et al. 10.5194/hess-28-2991-2024
88. Mapping global cropping system: Challenges, opportunities, and future perspectives L. You & Z. Sun 10.1016/j.crope.2022.03.006
89. Reducing agriculture irrigation water consumption through reshaping cropping systems across China L. Yin et al. 10.1016/j.agrformet.2021.108707
90. Climate change, cash crops, and violence against civilians in the Sahel O. Koren & J. Schon 10.1007/s10113-023-02090-7
91. Mapping Food Production in Hyper-Arid and Arid Saharan Africa in the Holocene—A View from the Present C. Lancelotti & S. Biagetti 10.3390/quat4020013
92. Increase of Simultaneous Soybean Failures Due To Climate Change H. Goulart et al. 10.1029/2022EF003106
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95. The increasing global environmental consequences of a weakening US–China crop trade relationship G. Yao et al. 10.1038/s43016-021-00338-1
96. Role of biomethane to offset natural gas P. Marconi & L. Rosa 10.1016/j.rser.2023.113697
97. Landscape-Scale Biodiversity Impacts Analysis of Côte d’Ivoire’s Cocoa Cultivation along Export Supply Chains S. Wang & S. Pfister 10.1021/acs.est.3c07795
98. Compound Dry and Wet Extremes Lead to an Increased Risk of Rice Yield Loss H. Chen & S. Wang 10.1029/2023GL105817
99. Climate change risks pushing one-third of global food production outside the safe climatic space M. Kummu et al. 10.1016/j.oneear.2021.04.017
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