Integrated emergy and economic evaluation of the dominant organic rice production systems in Jiangsu province, China. [PDF]
Gao P +7 more
europepmc +1 more source
Impact of Digital Ability and Rice Technology Adoption on Rice Farming Performance in Benin
ABSTRACT This study examines the combined effects of digital ability and the adoption of various rice technologies among smallholder rice farmers, using GPS‐spatially matched data sources that include household surveys and a general census of rice value chain actors in Benin.
Landry Bellarmin Kassa, Takeshi Sakurai
wiley +1 more source
Spatio-temporal analysis of rice production and trade between Southwest China and major rice producers in Southeast Asia. [PDF]
Geng Y +12 more
europepmc +1 more source
Optimal tillage depths for enhancing rice yield, quality and lodging resistance in the rice production systems of northeast China. [PDF]
Gong D, Dai G, Chen Y, Yu G.
europepmc +1 more source
ABSTRACT European agriculture is increasingly exposed to economic instability driven by extreme weather events, market volatility, and geopolitical tensions. To manage these growing risks, farmers are encouraged to adopt innovative risk management strategies such as the Income Stabilization Tool (IST), which offers protection against severe income ...
Alice Stiletto +5 more
wiley +1 more source
Response of rice production to rising CO<sub>2</sub> and its adaptive cultivation strategies. [PDF]
Zhang H +6 more
europepmc +1 more source
ABSTRACT Brazil and the United States account for more than 40% of global poultry exports, with China and South Korea among their major destination markets. This study examines price transmission and market linkages between Brazil and the United States using monthly poultry export price data from January 1990 to December 2024. It also assesses which of
Khondoker Abdul Mottaleb +2 more
wiley +1 more source
The Threat of the Fall Armyworm to Asian Rice Production Is Amplified by the Brown Planthopper. [PDF]
Xu S +7 more
europepmc +1 more source
A statistical and machine learning‐assisted surface‐enhanced Raman scattering (SERS) framework is developed for label‐free quantification of low‐abundance analytes, including proteins. Combining digital SERS event counting with binomial regression and an artificial neural network (ANN) trained on full spectra, the approach achieves picomolar detection ...
Eni Kume, James Rice
wiley +1 more source
Utilizing machine learning to optimize agricultural inputs for improved rice production benefits. [PDF]
Liu T +14 more
europepmc +1 more source

