Results 151 to 160 of about 19,498 (265)

Challenges and Future Directives of Synthetic Biology in Engineering Plant–Microbe Partnerships for Sustainable Agriculture

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Synthetic biology has recently proven to be a valuable tool for enhancing agriculture even in the face of environmental and biological stresses. Understanding the challenges that militate synthetic biology will assist in ensuring safe, stable, and scalable crop production.
Ben Jesuorsemwen Enagbonma, Rebaona Reaobaka Molefe‐Madlaliso, Alaba Adewole Adebayo, Oghoye Priscilla Oyedoh, Godfrey Okainemen Oribhabor, Oluwaseun Emmanuel Shittu, Olubukola Oluranti Babalola   +6 more
wiley   +1 more source

Integrating transformer-based learning and Sentinel-2 bare soil composites for soil organic carbon mapping in the black soil region of Northeast China. [PDF]

Sci Rep
Chen N, Wei Z, Jin X, Lin N, Yang F, Zhao L, Wu S.   +6 more
europepmc   +1 more source

Pectinase‐Based Bioprocesses for Circular Bioeconomy and Sustainable Industrial Development

Biotechnology and Bioengineering, EarlyView.
This picture demonstrates a unified strategy for sustainable pectinase production, focusing on microbial bioproduction, innovative strategies in enzyme engineering (Protein engineering, rational enzyme design, directed evolution and heterologous expression) and various applications in industry, including food, textiles, pulp and paper, agriculture and ...
Nisha Sharma, Dimple Tanwar, Usha Grewal, Murugesan Mohana Keerthi, Yogesh K. Ahlawat, Nitin Pandey, Chirag G. Makvana   +6 more
wiley   +1 more source

Magnetometry for Agriculture and Animal Systems: From Classical Sensors to Quantum-Enabled Biosensing. [PDF]

Biosensors (Basel)
Wang Z, Zhang X, Tang K, Wu L, Huang Y, Zhang N, Wang B, Wang X, Ruan Y, Lin Q.   +9 more
europepmc   +1 more source

Counting cases, conserving species: addressing highly pathogenic avian influenza in wildlife

Biological Reviews, EarlyView.
ABSTRACT Highly pathogenic avian influenza (HPAI) has become a critical threat to wildlife, shifting from a seasonal epizootic to a persistent, year‐round panzootic with global consequences. Here, we summarise the origin, evolutionary mechanisms, and expanding host range of the current H5N1 virus (clade 2.3.4.4b) and assess its impact on wildlife. Over
Ulrich Knief, Sandra Bouwhuis, Anja Globig, Anne Günther, Wouter Courtens   +4 more
wiley   +1 more source

The Evolution of Data-Driven Management Zone Delineation: A Systematic Review. [PDF]

Sensors (Basel)
Heidari R, Khanmohammadi R, Samavati FF.
europepmc   +1 more source

Cultivating Circularity: Harnessing Industry 4.0 and Stakeholder Engagement for a Sustainable Agrifood Future in Brazil

Business Strategy and the Environment, EarlyView.
ABSTRACT This study analyzed Industry 4.0 (I4.0) technology applications in agribusiness and the role of strategic stakeholders, engagement methods, and other critical aspects data sharing, confidentiality, integrity, decision‐making, and sector‐specific requirements in promoting circularity.
Simone Sehnem, Lucila M. S. Campos, Tais Provensi, Charbel Jose Chiappetta Jabbour   +3 more
wiley   +1 more source

Hyperspectral imaging and machine learning for rapid sensing and visualized retrieval of soil nutrients in high-latitude tea-growing regions. [PDF]

Front Plant Sci
Liu X, Zhang X, Wang M, Wang Z, He Z, Chen Z, Guo M, Dong C.   +7 more
europepmc   +1 more source

How to Navigate Disrupted Business Models in the 21st Century: At the Crossroads of the Circular Economy and the Industry 4.0 Transition

Business Strategy and the Environment, EarlyView.
ABSTRACT Our planet faces a critical crisis, with pollution, resource depletion and biodiversity loss surpassing sustainable limits. Businesses must address these challenges, with the circular economy and Industry 4.0 offering transformative potential through closed‐loop systems, regenerative solutions and advanced technologies.
Agnes Toth‐Peter, Rui Torres de Oliveira, Shane Mathews, Leonie Barner   +3 more
wiley   +1 more source

Digital Twin Modeling for Landslide Risk Scenarios in Mountainous Regions. [PDF]

Sensors (Basel)
Li L, Tang B, Cai F, Wei L, Zhu X, Fan D.   +5 more
europepmc   +1 more source