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Linking modelling and experimentation to better capture crop impacts of agroclimatic extremes—A review
RP Rötter, M Appiah, E Fichtler, KC Kersebaum… - Field Crops …, 2018 - Elsevier
Climate change implies higher frequency and magnitude of agroclimatic extremes
threatening plant production and the provision of other ecosystem services. This review is …
threatening plant production and the provision of other ecosystem services. This review is …
Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches
Wheat is the most important staple crop grown in Australia, and Australia is one of the top
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
wheat exporting countries globally. Timely and reliable wheat yield prediction in Australia is …
Prediction of winter wheat yield based on multi-source data and machine learning in China
Wheat is one of the main crops in China, and crop yield prediction is important for regional
trade and national food security. There are increasing concerns with respect to how to …
trade and national food security. There are increasing concerns with respect to how to …
Increased probability of hot and dry weather extremes during the growing season threatens global crop yields
Although extreme weather events recur periodically everywhere, the impacts of their
simultaneous occurrence on crop yields are globally unknown. In this study, we estimate the …
simultaneous occurrence on crop yields are globally unknown. In this study, we estimate the …
[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 …
Estimating and understanding crop yields with explainable deep learning in the Indian Wheat Belt
A Wolanin, G Mateo-García… - Environmental …, 2020 - iopscience.iop.org
Forecasting crop yields is becoming increasingly important under the current context in
which food security needs to be ensured despite the challenges brought by climate change …
which food security needs to be ensured despite the challenges brought by climate change …
Statistical modelling of crop yield in Central Europe using climate data and remote sensing vegetation indices
In the present study, multiple linear regression models were constructed to simulate the yield
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …
of winter wheat, rapeseed, maize and sunflower in Hungary for the 2000–2016 time period …
[HTML][HTML] Selection of independent variables for crop yield prediction using artificial neural network models with remote sensing data
Knowing the expected crop yield in the current growing season provides valuable
information for farmers, policy makers, and food processing plants. One of the main benefits …
information for farmers, policy makers, and food processing plants. One of the main benefits …
Statistical and machine learning models for location-specific crop yield prediction using weather indices
MK Debnath - International Journal of Biometeorology, 2024 - Springer
Crop yield prediction gains growing importance for all stakeholders in agriculture. Since the
growth and development of crops are fully connected with many weather factors, it is …
growth and development of crops are fully connected with many weather factors, it is …
Applications of CRISPR/Cas9 as new strategies for short breeding to drought gene in rice
JR Park, EG Kim, YH Jang, R Jan, M Farooq… - Frontiers in Plant …, 2022 - frontiersin.org
Recent unpredictable climate change is the main reason for the decline in rice yield. In
particular, drought stress is a major constraint in reducing yield and quality for rice at rainfed …
particular, drought stress is a major constraint in reducing yield and quality for rice at rainfed …