Results 111 to 120 of about 695,019 (302)

Agricultural Science and Technology Indicators: 2018 Global Food Policy Report Annex Table 1

open access: yes
Policy makers recognize that increased investment in agricultural research is key to increasing agricultural productivity. Despite this, many low- and middle-income countries struggle with capacity and funding constraints in their agricultural research ...
Agricultural Science and Technology Indicators
core  

Parallel Electrical Integration of Photo Bio Electrochemical Systems (photo‐BESs): Performance Gains and Load Dependency

open access: yesAdvanced Materials Technologies, EarlyView.
Parallel wiring of bioelectrochemical devices with conventional generators unexpectedly boosts output. A biophotovoltaic paired with a solar cell delivers up to 50% more power at low loads than their separate contributions; a plant microbial fuel cell shows similar current gains.
Valeria Marsaglia   +4 more
wiley   +1 more source

Transducers Across Scales and Frequencies: A System‐Level Framework for Multiphysics Integration and Co‐Design

open access: yesAdvanced Materials Technologies, EarlyView.
Transducers convert physical signals into electrical and optical representations, yet each mechanism is bounded by intrinsic trade‐offs across bandwidth, sensitivity, speed, and energy. This review maps transduction mechanisms across physical scale and frequency, showing how heterogeneous integration and multiphysics co‐design transform isolated ...
Aolei Xu   +8 more
wiley   +1 more source

Centralization of agricultural scientific data management model based on life cycle theory

open access: yes大数据, 2022
Governments, research institutions and scientists all over the world have attached great importance to the construction, management and sharing of agricultural science data resources.Relevant international organizations and agricultural science data ...
Fei GAO, Guomin ZHOU, Rui MAN
doaj  

Flexible Chemiresistive Chitosan‐Glycerol Sensors on Laser‐Induced Graphene Electrodes for Room‐Temperature Ammonia Detection

open access: yesAdvanced Materials Technologies, EarlyView.
Flexible Chitosan‐glycerol sensor integrated with porous laser‐induced graphene (LIG) electrodes enable room‐temperature chemiresistive detection of ammonia (NH3) and proof‐of‐concept detection of fish spoilage. ABSTRACT We report a metal‐free sensor platform combining laser induced graphene (LIG) electrodes with drop‐deposited, glycerol‐plasticized ...
Mintesinot Tamiru Mengistu   +9 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

open access: yesAdvanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang   +8 more
wiley   +1 more source

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

open access: yesAdvanced 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   +7 more
wiley   +1 more source

Social science perspectives on managing agricultural technology

open access: yes
Experiences of 15 social science research fellows who recount their roles in particular research projects at the International Agricultural Research Centers they were appointed.
Moock, Joyce Lewinger, Anonymous
core  

Science aids Idaho farmers: the annual report of the Agricultural Experiment Station for the year ending December 31, 1935

open access: yes, 1936
Idaho Agricultural Experiment Station, Bulletin No.
Neale, Mervin G.; Iddings, Edward J.
core  

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

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