Results 101 to 110 of about 284,098 (310)

Can digital farming technologies enhance the willingness to buy products from current farming systems? [PDF]

PLoS One, 2022
Wilmes R, Waldhof G, Breunig P.
europepmc   +1 more source

Recommendation domains for pond aquaculture [PDF]

, 2008
This publication introduces the methods and results of a research project that has developed a set of decision-support tools to identify places and sets of conditions for which a particular target aquaculture technology is considered feasible and ...
Barth, H., Bose, M.L., Kam, S.P., Kriesemer, S.K., Pemsl, D.E., Teoh, S.J.   +5 more
core  

The metaphorical understanding of power and authority [PDF]

, 2016
No abstract ...
Alexander, Marc
core   +1 more source

Engineered Living Systems With Self‐Organizing Neural Networks: From Anatomy to Behavior and Gene Expression

Advanced Science, EarlyView.
Ectodermal tissue excised from Xenopus embryos self‐organizes into a three‐dimensional mucociliary organoid. Here, we generate a neural variant, termed neurobot, by implanting neural precursor cells. Neurobots develop mature neurons, adopt distinct morphologies, exhibit more complex motility, and respond differentially to neuroactive compounds. Imaging
Haleh Fotowat, Laurie O'Neill, Léo Pio‐Lopez, Megan M. Sperry, Patrick Erickson, Tiffany Lin, Michael Levin   +6 more
wiley   +1 more source

Digital Transformation and Precision Farming as Catalysts of Rural Development

Land
The European Union’s developing rural development plan places digital and precision agriculture at the centre of agricultural modernisation and economic development.
Andrey Ronzhin, Aleksandra Figurek, Vladimir Surovtsev, Khapsat Dibirova   +3 more
doaj   +1 more source

Global impact of COVID-19 on agriculture: role of sustainable agriculture and digital farming. [PDF]

Environ Sci Pollut Res Int, 2023
Sridhar A, Balakrishnan A, Jacob MM, Sillanpää M, Dayanandan N.   +4 more
europepmc   +1 more source

Long‐Tea‐CLIP: An Expert‐Level Multimodal AI Framework for Fine‐Grained Green Tea Grading Across Five Sensory Dimensions

Advanced Science, EarlyView.
Long‐Tea‐CLIP (Contrastive Language‐Image Pre‐training) presents a multimodal AI framework that integrates visual, metabolomic, and sensory knowledge to grade green tea across appearance, soup color, aroma, taste, and infused leaf. By combining expert‐guided modeling with CLIP‐supervised learning, the system delivers fine‐grained quality evaluation and
Yanqun Xu, Zhengfang Xue, Qing Luo, Xu Liu, Yongquan Xu, Jing Huang, Xingcai Zhang, Xinyuan Zhang, Zhonghua Liu, Zisheng Luo   +9 more
wiley   +1 more source

Where are all the climate change games? Locating digital games' response to climate change [PDF]

, 2017
The burgeoning genre of climate fiction, or ‘cli-fi’, in literature and the arts has begun to attract both scholarly and popular attention. It hasbeen described as ‘potentially [having] crucial contributions to make toward full understanding of the ...
Abraham, Benjamin, Jayemanne, Darshana
core   +1 more source

A Bottom‐Up Design Framework for Multifunctional Lattice Metamaterials

Advanced Science, EarlyView.
This study introduces a generative AI framework for designing multifunctional lattice metamaterials. The method combines 3D Gaussian voxel generation with deep learning, enabling greater design freedom and structural performance. The optimized lattice metamaterials achieve enhanced energy absorption by 40–200% compared to conventional structures and ...
Zongxin Hu, Quanqing Tao, Junhao Ding, Shuo Qu, Haitao Ye, Jun Wei Chua, Tianxiao Niu, Rui Li, Winston Wai Shing Ma, Haoming Mo, Hui Liu, Wei Zhai, Xinwei Li, Xu Song   +13 more
wiley   +1 more source

Raman Spectroscopy and Machine Learning for Agricultural Applications: Chemometric Assessment of Spectroscopic Signatures of Plants as the Essential Step Toward Digital Farming. [PDF]

Front Plant Sci, 2022
Farber C, Kurouski D.
europepmc   +1 more source