Results 91 to 100 of about 32,912 (314)

Determinants of Knowledge and Usage of Generative Artificial Intelligence in Agricultural Extension: Evidence From Tennessee Extension Personnel

Agribusiness, EarlyView.
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani, Jason de Koff, James Muriuki, Anna‐Liisa Ihuhwa   +3 more
wiley   +1 more source

Impact of Sustainable Agricultural Practices on Labor Use Among Rice Farmers in the Mekong Delta of Vietnam

Agribusiness, EarlyView.
ABSTRACT The Mekong Delta (MKD), Vietnam has achieved high rice productivity through rapid intensification. However, this progress has led to environmental degradation and adverse economic and health effects. To mitigate these challenges, sustainable agricultural practices (SAPs) have been promoted.
Nguyen Thi Thu Hien, Ho Thanh Tam, Koji Shimada, Hoang Ha Anh, Nguyen Van Cuong, Le Cong Tru   +5 more
wiley   +1 more source

Climate-Change Driven Decline of an Insect Pathogen Increases the Risk of Defoliation by a Forest Pest Insect [PDF]

, 2023
Jiawei Liu, Colin H. Kyle, Jiali Wang, V. R. Kotamarthi, William Koval, Greg Dwyer   +5 more
openalex   +1 more source

Pest categorisation of Diabrotica virgifera zeae

EFSA Journal, 2019
The EFSA Panel on Plant Health performed a pest categorisation of Diabrotica virgifera zeae (Coleoptera: Chrysomelidae), the Mexican corn rootworm, for the EU. This is one of two subspecies of D.
EFSA Panel on Plant Health (PLH), Claude Bragard, Katharina Dehnen‐Schmutz, Francesco Di Serio, Paolo Gonthier, Marie‐Agnès Jacques, Josep Anton Jaques Miret, Annemarie Fejer Justesen, Christer Sven Magnusson, Panagiotis Milonas, Juan A Navas‐Cortes, Stephen Parnell, Roel Potting, Philippe Lucien Reignault, Hans‐Hermann Thulke, Wopke Van der Werf, Antonio Vicent Civera, Jonathan Yuen, Lucia Zappalà, Ewelina Czwienczek, Alan MacLeod   +20 more
doaj   +1 more source

Overview: Risk Factors and Historic Levels of Pressure From Insect Pests of Seedling Corn, Cotton, Soybean, and Wheat in the United States [PDF]

, 2017
Sharon K. Papiernik, Thomas W. Sappington, R. G. Luttrell, Louis S. Hesler, K. Clint Allen   +4 more
openalex   +1 more source

Sampling Strategy: An Overlooked Factor Affecting Artificial Intelligence Prediction Accuracy of Peptides’ Physicochemical Properties

Advanced Intelligent Discovery, EarlyView.
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan, Ankeer Abuduhebaier, Haojin Zhou, Jiaqi Wang   +3 more
wiley   +1 more source

Pest categorisation of Acrobasis pirivorella

EFSA Journal, 2018
The European Commission requested EFSA to conduct a pest categorisation of Acrobasis pirivorella (Lepidoptera: Pyralidae), a monophagous moth whose larvae exclusively feed on developing buds, flowers, and fruits of cultivated and wild Pyrus spp.
EFSA Panel on Plant Health (PLH), Claude Bragard, Katharina Dehnen‐Schmutz, Francesco Di Serio, Paolo Gonthier, Marie‐Agnès Jacques, Josep Anton Jaques Miret, Annemarie Fejer Justesen, Christer Sven Magnusson, Panagiotis Milonas, Juan A Navas‐Cortes, Stephen Parnell, Roel Potting, Philippe Lucien Reignault, Hans‐Hermann Thulke, Wopke Van der Werf, Antonio Vicent Civera, Jonathan Yuen, Lucia Zappalà, Ewelina Czwienczek, Elma Bali, Alan MacLeod   +21 more
doaj   +1 more source

Digital Agriculture: Past, Present, and Future

Advanced Intelligent Discovery, EarlyView.
Digital agriculture integrates Internet of Things, artificial intelligence, and blockchain to enhance efficiency and sustainability in farming. This review outlines its evolution, current applications, and future directions, highlighting both technological advances and key challenges for global implementation.
Xiaoding Wang, Chengxian Wu, Qibin Wu, Youxiong Que   +3 more
wiley   +1 more source

Data on Swiss grapevine growers’ production, pest management and risk management decisions

, 2023
Lucca Zachmann, Chloe McCallum, Robert Finger   +2 more
openalex   +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