Results 171 to 180 of about 2,679,936 (287)

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

Endophyte-mediated pest resistance: mechanisms, evidence gaps, and translational opportunities. [PDF]

Front Microbiomes
Dey Roy S, Chatterjee D, Thakur R, Bhattacharya S, Mukhopadhyay AK, Mondal P, Pramanik A, Chatterjee H.   +7 more
europepmc   +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

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

From Greenhouse Pest to Open-Field Invader: Widespread Distribution and Phenological Expansion of <i>Tuta absoluta</i> (Meyrick, 1917) in Temperate Hungary. [PDF]

Insects
Kőszegi K, Takács AS, Balogh Á, Kovács G, Szecskó V, Kutas J, Tüh A, Vörös B, Tunyoginé Búzás I, Bíró M, Farkas G, Farkas I, Marsai-Mikolics K, Bozsó M, Tóth B, Nagy A.   +15 more
europepmc   +1 more source

Pests of Ornamental Plants [PDF]

Nature, 1938
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

Chemical Signaling and Integrated Strategies for Biological Control in Crop Agroecosystems. [PDF]

Insects
Ahmad S, Chen D, Cen Y, Jamil M, Gul H, Palma-Onetto V, Ouyang G, Xiang M.   +7 more
europepmc   +1 more source

Pests of Ornamental Plants [PDF]

Nature, 1951
openaire   +1 more source