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Crop traits and production under drought
Drought limits crop productivity and threatens global food security, with moderate drought stress — when crops grow at a reduced rate — commonly...
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Modelling crop yield and harvest index: the role of carbon assimilation and allocation parameters
Crop yield improvement during the last decades has relied on increasing the ratio of the economic organ to the total aboveground biomass, known as...
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Assessment and Analysis of Crop Irrigation by the Combination of Modelling and Remote Sensing Techniques
Crop irrigation should be properly monitored to plan the use of land water resources and their repartition among competing activities. Appropriate...
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Climate change impacts on crop yields
Climate change challenges efforts to maintain and improve crop production in many regions. In this Review, we examine yield responses to warmer...
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Assessment of Crop Yield in China Simulated by Thirteen Global Gridded Crop Models
Global gridded crop models (GGCMs) have been broadly applied to assess the impacts of climate and environmental change and adaptation on agricultural...
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A Systematic Review of Crop Planning Optimisation Under Climate Change
Optimising the use of natural resources for food production in the context of changing climate is an increasingly important issue. Optimisation...
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Land–atmosphere feedbacks contribute to crop failure in global rainfed breadbaskets
Global crop yields are highly dependent on climate variability, with the largest agricultural failures frequently occurring during extremely dry and...
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Uniting remote sensing, crop modelling and economics for agricultural risk management
The increasing availability of satellite data at higher spatial, temporal and spectral resolutions is enabling new applications in agriculture and...
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Uncertainties in assessing climate change impacts and adaptation options with wheat crop models
Mechanistic and process-oriented crop models are important tools to quantify the potential impacts of climate change on crop production and yields...
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Preparing Colombian coffee production for climate change: Integrated spatial modelling to identify potential robusta coffee (Coffea canephora P.) growing areas
Meeting future demand for coffee under climate change is a challenge. Approaches that can inform where coffee may grow best under current and future...
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Business As Usual Versus Climate-responsive, Optimised Crop Plans – A Predictive Model for Irrigated Agriculture in Australia in 2060
Climate change is impacting people’s lives, with management of water resources and food security being major concerns for the future of many...
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Compound heat and moisture extreme impacts on global crop yields under climate change
Extreme heat, drought and moisture excess are increasingly co-occurring within a single growing season, impacting crop yields in global breadbasket...
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Machine learning based object-level crop classification of PlanetScope data at South India Basin
Crop classification is of great significance as it opens doors to agricultural inventory and research related to crop map**, crop yield, and...
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Sensitivity of daily reference evapotranspiration to weather variables in tropical savanna: a modelling framework based on neural network
Accurate prediction of reference evapotranspiration (ET o ) is crucial for many water-related fields, including crop modelling, hydrologic simulations,...
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Differentiable modelling to unify machine learning and physical models for geosciences
Process-based modelling offers interpretability and physical consistency in many domains of geosciences but struggles to leverage large datasets...
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Water resource management for improved crop cultivation and productivity with hydraulic engineering solution in arid northern Afghanistan
This study is presenting a multidisciplinary approach for mitigations of water resources in the irrigation, water supply, energy, and flood...
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Simulating crop yield estimation and prediction through geospatial data for specific regional analysis
Geospatial imagery play a key role in deciding land usage for agrarian planning and assessment by acknowledging the food security problems, impacts...
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Spatiotemporal analyses of temperature and equivalent temperature and their relationship with crop health across Pakistan’s cropland
Spatiotemporal variations in temperature (T) and equivalent temperature (Te) significantly impact agricultural production across Pakistan,...
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Quantifying crop vulnerability to weather-related extreme events and climate change through vulnerability curves
Weather extremes have been responsible for widespread economic damage at global scale in the last decades. Agriculture alone absorbed 26% of the...
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Deriving Phenological Metrics from Landsat-OLI for Sugarcane Crop Type Map**: A Case Study in North India
The crop detection and classification using satellite imagery can be helpful in crop management. Therefore, it is needed to be explored for effective...
