Results 111 to 120 of about 204,344 (264)

Does Contract Farming Reduce Pesticide Use? Panel Data Evidence From Smallholder Farmers in China

Agribusiness, EarlyView.
ABSTRACT The inappropriate and excessive use of pesticides poses a major threat to human and ecosystem health in the agri‐food sector. While existing studies have examined the potential of contract farming to address this issue, most have focused on large‐scale farms and relied on small or transactional datasets, often leaving the role of crop‐specific
Zhihui Liang, Shan Jin, Matthew Gorton
wiley   +1 more source

Estimation of Import Demand Functions of Two Key Food and Feed Commodities (Corn and Soybean) for India

Agribusiness, EarlyView.
ABSTRACT The derived demand for the increased demand for meat and dairy products is clearly observed in the fast‐paced growth of the Indian feed industry and its increased demand for agricultural commodities (e.g., corn, soybean, rice, wheat, broken rice, millet, etc.) as feed ingredients.
Dwiti Baruah Thapa, Sanjib Bhuyan, Kishor Goswami   +2 more
wiley   +1 more source

The Effect of Sustainability Information on Consumers' Preferences for Fungus‐Resistant Grape Wine

Agribusiness, EarlyView.
ABSTRACT The demand for sustainable food production is intensifying the need to reduce the environmental and social impacts of pesticide use in agriculture. In viticulture, where dependence on pesticides is high because grapevines are susceptible to fungal diseases, fungus‐resistant grape varieties (PIWI) offer a promising strategy to reduce chemical ...
Daniel Vecchiato, Andrea Dominici, Fabio Boncinelli   +2 more
wiley   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

AI Dependence as a Longitudinal Governance Problem

AI &Innovation, EarlyView.
ABSTRACT Artificial intelligence governance typically focuses on whether people rely on AI appropriately during individual decisions. This Perspective addresses a different question: whether repeated AI use changes the capabilities and alternatives available to users and organisations over time.
Yiran Du
wiley   +1 more source

Board effects on innovation in family and non-family business. [PDF]

Heliyon, 2020
Gonzales-Bustos JP, Hernández-Lara AB, Li X.   +2 more
europepmc   +1 more source

Causal analysis of trade loss from pathogens: A global study of foot and mouth disease impacts on meat exports

American Journal of Agricultural Economics, EarlyView.
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman, Thomas L. Marsh   +1 more
wiley   +1 more source

A WEE1 family business: regulation of mitosis, cancer progression, and therapeutic target. [PDF]

J Hematol Oncol, 2020
Ghelli Luserna di Rorà A, Cerchione C, Martinelli G, Simonetti G.   +3 more
europepmc   +1 more source

Family business or business family?

Existing research on family business branding has primarily focused on branding the organisation through references to family ownership. In contrast, comparatively little attention has been given to business family branding, in which the owning family itself becomes the central branded entity.
openaire   +1 more source