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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 temperatures, elevated carbon …
In this Review, we examine yield responses to warmer temperatures, elevated carbon …
A comprehensive review of crop yield prediction using machine learning approaches with special emphasis on palm oil yield prediction
An early and reliable estimation of crop yield is essential in quantitative and financial
evaluation at the field level for determining strategic plans in agricultural commodities for …
evaluation at the field level for determining strategic plans in agricultural commodities for …
Restaurant survival prediction using customer-generated content: An aspect-based sentiment analysis of online reviews
Business failure prediction or survival analysis can assist corporate organizations in better
understanding their performance and improving decision making. Based on aspect-based …
understanding their performance and improving decision making. Based on aspect-based …
A CNN-RNN framework for crop yield prediction
Crop yield prediction is extremely challenging due to its dependence on multiple factors
such as crop genotype, environmental factors, management practices, and their interactions …
such as crop genotype, environmental factors, management practices, and their interactions …
Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt
This study investigates whether coupling crop modeling and machine learning (ML)
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
improves corn yield predictions in the US Corn Belt. The main objectives are to explore …
[HTML][HTML] Machine learning for large-scale crop yield forecasting
Many studies have applied machine learning to crop yield prediction with a focus on specific
case studies. The data and methods they used may not be transferable to other crops and …
case studies. The data and methods they used may not be transferable to other crops and …
Impact of extreme weather conditions on European crop production in 2018
Extreme weather increases the risk of large-scale crop failure. The mechanisms involved are
complex and intertwined, hence undermining the identification of simple adaptation levers to …
complex and intertwined, hence undermining the identification of simple adaptation levers to …
Regenerative agriculture and integrative permaculture for sustainable and technology driven global food production and security
A growing world population and increases in food and energy consumption have placed
production agriculture in a difficult situation. The rapid growth in food production through …
production agriculture in a difficult situation. The rapid growth in food production through …
Hybrid deep learning-based models for crop yield prediction
Predicting crop yield is a complex task since it depends on multiple factors. Although many
models have been developed so far in the literature, the performance of current models is …
models have been developed so far in the literature, the performance of current models is …
A county-level soybean yield prediction framework coupled with XGBoost and multidimensional feature engineering
Yield prediction is essential in food security, food trade, and field management. However,
due to the associated complex formation mechanisms of yield, accurate and timely yield …
due to the associated complex formation mechanisms of yield, accurate and timely yield …