Generative Artificial Intelligence Shaping the Future of Agri‐Food Innovation
Emerging use cases of generative artificial intelligence in agri‐food innovation. ABSTRACT The recent surge in generative artificial intelligence (AI), typified by models such as GPT, diffusion models, and large vision‐language architectures, has begun to influence the agri‐food sector.
Jun‐Li Xu +2 more
wiley +1 more source
Abstract The Russian invasion of Ukraine in February 2022 had profound consequences for the global economy. As both countries are major commodity exporters, the food value chain was also affected. This study investigates the impact of the invasion on stock prices, profitability and sentiments of agribusinesses along the food supply chain by using an ...
Julia Höhler +2 more
wiley +1 more source
Exploring predictive models to improve the accuracy of Housing Price Index forecasts in India's real estate sector. [PDF]
Singh N, Shanmugam K.
europepmc +1 more source
Abstract Nucleus outgrower schemes are contractual arrangements where well‐resourced large‐scale farmers (nucleus farmers) are empowered by development support agencies to take charge of smallholder farmers, by providing them with market access and the necessary training on agronomic practices and farm inputs for production.
Dominic Tasila Konja, Awudu Abdulai
wiley +1 more source
Cause-and-effect relationships in a nonlinear model of Bitcoin's energy use and price volatility effect. [PDF]
Zournatzidou G.
europepmc +1 more source
The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley +1 more source
Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations. [PDF]
Than HT.
europepmc +1 more source
The dynamic connectedness among infectious diseases, geopolitical risks, cryptocurrency, and commodity markets: Evidence from a partial and multiple wavelet analysis. [PDF]
Ben Ameur H, Jamaani F, Abu Alfoul MN.
europepmc +1 more source
A dual-stochastic real options model for sports tourism investment: A case study in China. [PDF]
Liu T, Cheng J, Huang Y.
europepmc +1 more source

