Results 201 to 210 of about 335,984 (310)
Editorial: Leveraging phenotyping and crop modeling in smart agriculture. [PDF]
Sun T +4 more
europepmc +1 more source
ABSTRACT This study addresses a significant research gap in the literature by systematically reviewing and synthesizing the interplay between social dynamics, environmental changes, and organizational innovation. Although prior research has explored these dimensions in isolation, the integrative framework remains lacking.
Gagan Deep Sharma +4 more
wiley +1 more source
GAE-YOLO: a lightweight multimodal detection framework for tomato smart agriculture with edge computing. [PDF]
Liu X +7 more
europepmc +1 more source
Digital Transformation for Eco‐Innovation: Evidence From Agriculture 4.0 Adoption in Wine Firms
ABSTRACT Firms face a fundamental strategic dilemma: how to align digital transformation with environmental sustainability while maintaining competitive advantage. Drawing on the eco‐innovation and green business strategy literature, this paper investigates how Agriculture 4.0 technologies act as enablers of sustainability strategies.
Alessandro Muscio +2 more
wiley +1 more source
Impact of combined climate-smart agriculture practices on the technical efficiency and efficiency yield gap in Ethiopia. [PDF]
Bedasa Y, Gemechu A, Bedemo A.
europepmc +1 more source
ABSTRACT As firms increasingly incorporate environmental, social, and governance (ESG) concerns into their strategic agendas, stakeholder legitimacy—an audience‐conferred judgment of organizational appropriateness—has become pivotal. We theorize legitimacy as expanding a hybrid response portfolio in which firms may pursue substantive change (business ...
Min‐Jae Lee +3 more
wiley +1 more source
Retraction: The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture. [PDF]
PLOS One Editors.
europepmc +1 more source
ABSTRACT The aim of this research is to verify whether institutional quality affects the relationship between green innovation and firm efficiency within the high‐tech manufacturing sectors. To estimate jointly the parameters of a stochastic frontier and the coefficients of a model explaining technical inefficiency, we employed the one‐step estimation ...
Mariarosaria Agostino +2 more
wiley +1 more source
I-GhostNetV3: A Lightweight Deep Learning Framework for Vision-Sensor-Based Rice Leaf Disease Detection in Smart Agriculture. [PDF]
Zhang P, Li R, Liu Y, Sun G, Wen C.
europepmc +1 more source
ABSTRACT Environmental protection has emerged as a global priority in the contemporary context. As pivotal actors in the transition towards sustainable development, companies play a crucial role through the adoption of environmental innovations. This study investigates how organisational characteristics—specifically geographical location, business ...
Carlos de las Heras‐Rosas +3 more
wiley +1 more source

