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Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

Agricultural systems, 2019-07, Vol.173, p.303-316

2019

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Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

Agricultural and forest meteorology, 2020-05, Vol.285-286, p.107922, Article 107922

2020

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Tomato yield and water use efficiency change with various soil moisture and potassium levels during different growth stages

PloS one, 2019-03, Vol.14 (3), p.e0213643-e0213643

2019

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China can be self-sufficient in maize production by 2030 with optimal crop management

Nature communications, 2023-05, Vol.14 (1), p.2637-2637, Article 2637

2023

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Effect of potassium fertilization during fruit development on tomato quality, potassium uptake, water and potassium use efficiency under deficit irrigation regime

Agricultural water management, 2021-05, Vol.250, p.106831, Article 106831

2021

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Changes in root hydraulic conductance in relation to the overall growth response of maize seedlings to partial root-zone nitrogen application

Agricultural water management, 2020-02, Vol.229, p.105839, Article 105839

2020

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Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach

Journal of hydrology (Amsterdam), 2024-05, Vol.634, p.131102, Article 131102

2024

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Climate change shifts forward flowering and reduces crop waterlogging stress

Environmental research letters, 2021-09, Vol.16 (9), p.94017

2021

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Future climate impacts on forest growth and implications for carbon sequestration through reforestation in southeast Australia

Journal of environmental management, 2022-01, Vol.302 (Pt A), p.113964-113964, Article 113964

2022

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Soil properties resulting in superior maize yields upon climate warming

Agronomy for sustainable development, 2022-10, Vol.42 (5), Article 85

2022

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Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield

Remote sensing (Basel, Switzerland), 2022-05, Vol.14 (10), p.2340

2022

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Assessing the feasibility of sprinkler irrigation schemes and their adaptation to future climate change in groundwater over-exploitation regions

Agricultural water management, 2024-03, Vol.292, p.108674, Article 108674

2024

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Evaluating the effects of single and integrated extreme climate events on hydrology in the Liao River Basin, China using a modified SWAT-BSR model

Journal of hydrology (Amsterdam), 2023-08, Vol.623, p.129772, Article 129772

2023

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Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia

Environmental research letters, 2020-08, Vol.15 (8), p.84051

2020

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Assessing the Fates of Water and Nitrogen on an Open-Field Intensive Vegetable System under an Expert-N System with EU-Rotate_N Model in North China Plain

Plants (Basel), 2024-08, Vol.13 (15), p.2150

2024

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Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date

Mitigation and adaptation strategies for global change, 2022-03, Vol.27 (3), Article 21

2022

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Short-term extreme heat at flowering amplifies the impacts of climate change on maize production

Environmental research letters, 2023-08, Vol.18 (8), p.84021

2023

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Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China

Plants (Basel), 2022-12, Vol.11 (23), p.3338

2022

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Effects of the Ratio of Substituting Mineral Fertilizers with Manure Nitrogen on Soil Properties and Vegetable Yields in China: A Meta-Analysis

Plants (Basel), 2023-02, Vol.12 (4), p.964

2023

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Creating New Near-Surface Air Temperature Datasets to Understand Elevation-Dependent Warming in the Tibetan Plateau

Remote sensing (Basel, Switzerland), 2020-06, Vol.12 (11), p.1722

2020

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Projecting Changes in Temperature Extremes in the Han River Basin of China Using Downscaled CMIP5 Multi-Model Ensembles

Atmosphere, 2020-04, Vol.11 (4), p.424

2020

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Adaptations of potato production to future climate change by optimizing planting date, irrigation and fertilizer in the Agro-Pastoral Ecotone of China

Climate risk management, 2024, Vol.44, p.100604, Article 100604

2024

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Improvement of Water and Nitrogen Use Efficiencies by Alternative Cropping Systems Based on a Model Approach

Plants (Basel), 2023-01, Vol.12 (3), p.597

2023

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Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia

Journal of hydrology. Regional studies, 2023-12, Vol.50, p.101573, Article 101573

2023

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Impacts of Different Socioeconomic Development Levels on Extremely Wet/Dry Events in Mainland China

Water (Basel), 2022-12, Vol.14 (23), p.3950

2022

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Machine learning-based integration of remotely-sensed drought factors can improve the estimation of agricultural drought in South-Eastern Australia

Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique

Tomato yield and water use efficiency change with various soil moisture and potassium levels during different growth stages

China can be self-sufficient in maize production by 2030 with optimal crop management

Effect of potassium fertilization during fruit development on tomato quality, potassium uptake, water and potassium use efficiency under deficit irrigation regime

Changes in root hydraulic conductance in relation to the overall growth response of maize seedlings to partial root-zone nitrogen application

Unleashing the power of machine learning and remote sensing for robust seasonal drought monitoring: A stacking ensemble approach

Climate change shifts forward flowering and reduces crop waterlogging stress

Future climate impacts on forest growth and implications for carbon sequestration through reforestation in southeast Australia

Soil properties resulting in superior maize yields upon climate warming

Improving Spatial Disaggregation of Crop Yield by Incorporating Machine Learning with Multisource Data: A Case Study of Chinese Maize Yield

Assessing the feasibility of sprinkler irrigation schemes and their adaptation to future climate change in groundwater over-exploitation regions

Evaluating the effects of single and integrated extreme climate events on hydrology in the Liao River Basin, China using a modified SWAT-BSR model

Machine learning-based integration of large-scale climate drivers can improve the forecast of seasonal rainfall probability in Australia

Assessing the Fates of Water and Nitrogen on an Open-Field Intensive Vegetable System under an Expert-N System with EU-Rotate_N Model in North China Plain

Projecting future changes in extreme climate for maize production in the North China Plain and the role of adjusting the sowing date

Short-term extreme heat at flowering amplifies the impacts of climate change on maize production

Simulating the Effects of Different Textural Soils and N Management on Maize Yield, N Fates, and Water and N Use Efficiencies in Northeast China

Effects of the Ratio of Substituting Mineral Fertilizers with Manure Nitrogen on Soil Properties and Vegetable Yields in China: A Meta-Analysis

Creating New Near-Surface Air Temperature Datasets to Understand Elevation-Dependent Warming in the Tibetan Plateau

Projecting Changes in Temperature Extremes in the Han River Basin of China Using Downscaled CMIP5 Multi-Model Ensembles

Adaptations of potato production to future climate change by optimizing planting date, irrigation and fertilizer in the Agro-Pastoral Ecotone of China

Improvement of Water and Nitrogen Use Efficiencies by Alternative Cropping Systems Based on a Model Approach

Performance of potential evapotranspiration models across different climatic stations in New South Wales, Australia

Impacts of Different Socioeconomic Development Levels on Extremely Wet/Dry Events in Mainland China

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