[HTML][HTML] Machine learning in crop yield modelling: A powerful tool, but no surrogate for science
Provisioning a sufficient stable source of food requires sound knowledge about current and
upcoming threats to agricultural production. To that end machine learning approaches were …
upcoming threats to agricultural production. To that end machine learning approaches were …
Similar estimates of temperature impacts on global wheat yield by three independent methods
The potential impact of global temperature change on global crop yield has recently been
assessed with different methods. Here we show that grid-based and point-based simulations …
assessed with different methods. Here we show that grid-based and point-based simulations …
Global wheat production with 1.5 and 2.0° C above pre‐industrial warming
Efforts to limit global warming to below 2° C in relation to the pre‐industrial level are under
way, in accordance with the 2015 Paris Agreement. However, most impact research on …
way, in accordance with the 2015 Paris Agreement. However, most impact research on …
Can conservation agriculture increase soil carbon sequestration? A modelling approach
E Valkama, G Kunypiyaeva, R Zhapayev, M Karabayev… - Geoderma, 2020 - Elsevier
Conservation agriculture (CA) involves complex and interactive processes that ultimately
determine soil carbon (C) storage, making it difficult to identify clear patterns. To solve these …
determine soil carbon (C) storage, making it difficult to identify clear patterns. To solve these …
Use of crop growth model to simulate the impact of climate change on yield of various wheat cultivars under different agro-environmental conditions in Khyber …
Climate change is significantly affecting agriculture and food security. Variations in
temperature and uncertainties in rainfall patterns negatively affect the yield of crops. Crop …
temperature and uncertainties in rainfall patterns negatively affect the yield of crops. Crop …
[HTML][HTML] Modeling the impacts of projected climate change on wheat crop suitability in semi-arid regions using the AHP-based weighted climatic suitability index and …
Due to rapid population growth and the limitation of land resources, the sustainability of
agricultural ecosystems has attracted more attention all over the world. Human activities will …
agricultural ecosystems has attracted more attention all over the world. Human activities will …
To bias correct or not to bias correct? An agricultural impact modelers' perspective on regional climate model data
Many open questions and unresolved issues surround the topic of bias correction (BC) in
climate change impact studies (CCIS). One question relates to the contribution of …
climate change impact studies (CCIS). One question relates to the contribution of …
Calibration and validation of APSIM-Wheat and CERES-Wheat for spring wheat under rainfed conditions: Models evaluation and application
Crop growth in process based crop models is controlled by different parameters. Model
calibration is necessary for application to new cultivars and environment. We applied a …
calibration is necessary for application to new cultivars and environment. We applied a …
[PDF][PDF] Forecasting daily meteorological time series using ARIMA and regression models
M Murat, I Malinowska, M Gos… - International …, 2018 - archive.sciendo.com
The daily air temperature and precipitation time series recorded between January 1, 1980
and December 31, 2010 in four European sites (Jokioinen, Dikopshof, Lleida and Lublin) …
and December 31, 2010 in four European sites (Jokioinen, Dikopshof, Lleida and Lublin) …
[HTML][HTML] Climate change impact on wheat and maize growth in Ethiopia: A multi-model uncertainty analysis
Ethiopia's economy is dominated by agriculture which is mainly rain-fed and subsistence.
Climate change is expected to have an adverse impact particularly on crop production …
Climate change is expected to have an adverse impact particularly on crop production …