Repeatability and Predictability of Calf Feeding Behaviors-Quantifying Between- and Within-Individual Variation for Precision Livestock Farming. [PDF]
Carslake C +3 more
europepmc +1 more source
The Determinants of On-Farm Renewable Energy Adoption [PDF]
Agribusiness, Resource /Energy Economics and Policy,
Beckman, Jayson F. +2 more
core +1 more source
This study employs an AI‐driven multidisciplinary approach to increase our understanding of the toxicological effects of sublethal concentrations of carlina oxide on Prostephanus truncatus. Sublethal exposure to the carlina oxide induced changes in motor patterns and thigmotaxis, highlighting its potential role in integrated pest management strategies.
Anita Casadei +9 more
wiley +1 more source
Accuracy to Predict the Onset of Calving in Dairy Farms by Using Different Precision Livestock Farming Devices. [PDF]
Szenci O.
europepmc +1 more source
Outlook of North Dakota Farm Households: Results of the 1988 Longitudinal Farm Survey [PDF]
Agricultural Finance, Farm Management,
Ekstrom, Brenda L. +3 more
core +1 more source
Schematic diagram of the single and dual RPA‐CRISPR/Cas12a/13a diagnostic assays for the detection of Pantoea stewartii subsp. stewartii and Maize dwarf mosaic virus. The validated assays provide a useful and sensitive molecular tool for detecting two quarantine pathogens of maize within a minimal resource framework suitable for fast‐tracking the ...
Qian Tian +6 more
wiley +1 more source
Consumer Perceptions of Precision Livestock Farming-A Qualitative Study in Three European Countries. [PDF]
Krampe C +3 more
europepmc +1 more source
Real‐Time Behavior Recognition Using a Legged Robot for Animal–Robot Interaction
ABSTRACT Animal–robot interaction is an emerging interdisciplinary field that explores the dynamics between animals and robotic systems, as well as the design principles for effective engagement. While previous approaches have investigated animal responses to robotic stimuli, they have yet to integrate artificial intelligence (AI) for real‐time ...
Edoardo Fazzari +3 more
wiley +1 more source
Refining responsive antimicrobial nanomaterials from random peptide libraries via machine learning
Machine learning refines random peptide mixtures into responsive antimicrobial cocktails, yielding enhanced antibacterial efficacy and improved in vivo therapeutic effects. Abstract Antimicrobial resistance has evolved into one of the most serious threats to global public health, yet generalizable routes for refining random peptide mixtures (RPMs) into
Lin Wang +7 more
wiley +1 more source
A Systematic Review on Validated Precision Livestock Farming Technologies for Pig Production and Its Potential to Assess Animal Welfare. [PDF]
Gómez Y +8 more
europepmc +1 more source

