Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Assessing national climate-neutrality plans through a modelling nexus lens: the case of Greece. [PDF]
Koundouri P +5 more
europepmc +1 more source
Alternative Policy Designs to Help Farmers Select Profitable Conservation Practices
ABSTRACT Voluntary private carbon initiatives (VPCIs) promote the implementation of agricultural conservation practices that mitigate emissions of greenhouse gases (GHGs) via financial incentives to participating farmers. Simultaneously, an array of public policies supports the adoption of conservation practices through technical and financial ...
Oranuch Wongpiyabovorn +1 more
wiley +1 more source
Editorial: The future of agricultural biosafety regulations. [PDF]
Garcia-Alonso M +3 more
europepmc +1 more source
This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Impact of agricultural subsidy on chemical fertilizer use: Empirical evidence of China's Organic-Substitute-Chemical-Fertilizer policy based on double machine learning. [PDF]
Deng L, Wan P, Ye F, Zhao J.
europepmc +1 more source
Vocational training in the service of the common agricultural policy. Harmonizing the classification of wood in the rough. Newsletter on the Common Agricultural Policy No. 3, February 1966 [PDF]
core
Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin +4 more
wiley +1 more source
Driving agricultural strength through digital transformation. [PDF]
Dong J, Xu J.
europepmc +1 more source

