Results 101 to 110 of about 156,914 (312)

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

Advanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah, Lennert Purnal, Maximilian Krack, Sander Vijgen, Thijs Vandenryt, Dieter Reenaers, Ronald Thoelen, Wim Deferme   +7 more
wiley   +1 more source

LodgeNet: an automated framework for precise detection and classification of wheat lodging severity levels in precision farming. [PDF]

Front Plant Sci, 2023
Ali N, Mohammed A, Bais A, Sangha JS, Ruan Y, Cuthbert RD.   +5 more
europepmc   +1 more source

Farmers' Perceptions about Spatial Yield Variability and Precision Farming Technology Adoption: An Empirical Study of Cotton Production in 12 Southeastern States [PDF]

This paper examines how cotton farmers' perceptions about their spatial yield variability influence their decision to adopt precision farming technologies.
Kotsiri, Sofia, Marra, Michele C., Rejesus, Roderick M., Velandia, Margarita M.   +3 more
core   +1 more source

Precision Farming | autonome?

, 2014
Precision Farming désigne, par analogie, l’agriculture de précision ou plus particulièrement la production végétale de précision. En d’autres termes: en Precision Farming, on tente de tout régler avec précision! L’électronique soutient en cela la technique agricole intelligente.
openaire   +2 more sources

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Can We Reliably Detect Respiratory Diseases through Precision Farming? A Systematic Review. [PDF]

Animals (Basel), 2023
Garrido LFC, Sato STM, Costa LB, Daros RR.   +3 more
europepmc   +1 more source

Can Education Be a Barrier to Technology Adoption? [PDF]

The objective of this study is to test the widely‐held belief that the effect of education has a positive impact on technology adoption. Using 2006 Agricultural Resource Management Survey "ARMS" data, we estimate a simultaneous equations model to ...
Mishra, Ashok K., Uematsu, Hiroki
core   +1 more source

Multiobjective Codesign Optimization of a Planar Pneumatic Artificial Muscle‐Based Snake‐Like Robot for Enhanced Agility and Energy Efficiency

Advanced Robotics Research, EarlyView.
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley   +1 more source

Deoxynivalenol-Induced Spleen Toxicity in Mice: Inflammation, Endoplasmic Reticulum Stress, Macrophage Polarization, and the Dysregulation of LncRNA Expression

Toxins
The spleen is a primary target of deoxynivalenol (DON) toxicity, but its underlying molecular mechanisms remain unclear. This study investigates the effects of DON on inflammation, splenic macrophage polarization, endoplasmic reticulum (ER) stress, and ...
Qingbo Zhao, Weili Feng, Peiyu Gao, Yu Han, Siyi Zhang, Ao Zhou, Liangyu Shi, Jing Zhang   +7 more
doaj   +1 more source

A Correlational Study of Two U.S. State Extension Professionals' Behavioral Intentions to Improve Sustainable Food Chains through Precision Farming Practices. [PDF]

Foods, 2023
Lee CL, Strong R, Briers G, Murphrey T, Rajan N, Rampold S.   +5 more
europepmc   +1 more source