Results 121 to 130 of about 35,950 (258)

Pest Risk Analysis For Leucaspis Japonica

, 2015
Lopholeucaspis japonica is listed as Leucaspis japonica in EPPO list as pest recommended for regulation as quarantine pest. It attacks 59 tree species and this list is probably not complete. For Slovakia the most important hosts are apple trees, cherries, pears, maples, hornbeams, lindens or birches, but also other species useful in agriculture ...
openaire   +2 more sources

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

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

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Artificial Intelligence (AI) and Agribusiness: From Automation to Augmentation in a Global Context

Agribusiness, EarlyView.
Alexis H. Villacis
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

Pest risk assessment of Diaporthe vaccinii for the EU territory. [PDF]

EFSA J, 2017
EFSA Panel on Plant Health (PLH), Jeger M, Bragard C, Caffier D, Candresse T, Chatzivassiliou E, Dehnen-Schmutz K, Gilioli G, Grégoire JC, Jaques Miret JA, MacLeod A, Navarro MN, Niere B, Parnell S, Potting R, Rafoss T, Rossi V, Urek G, Van Der Werf W, West J, Winter S, Gardi C, Mosbach-Schulz O, Koufakis I, Van Bruggen A.   +24 more
europepmc   +1 more source

QUANTITATIVE PEST RISK ASSESSMENT WITH CAPRA

, 2019
Methodology of quantitative pest risk assessment developed by 2006 may be applied to CAPRA programme. The way of using this methodology when conducting PRA with CAPRA programme is provided in the paper including assessment of probability of entry of analysed pest to the PRA area, probability of its establishment there and potential economic impact.
openaire   +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

Pest risk modelling for climate-smart vegetable production in East Africa. [PDF]

Environ Entomol
Agbodjan MM, Agboka KM, Odindi J, Abdel-Rahman E, Mutanga O, Chidawanyika F, Tanga C, Mutyambai DM, Subramanian S, Sokame BM.   +9 more
europepmc   +1 more source