Write in a clean editor, then format for NJAS Impact in Agricultural and Life Sciences in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
NJAS Impact in Agricultural and Life Sciences is a peer-reviewed journal published by Taylor & Francis, covering Agricultural Innovations and Practices, Organic Food and Agriculture, Climate change impacts on agriculture.
| Publisher | Taylor & Francis |
|---|---|
| Reference style | Author–year (Chicago, T&F) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." NJAS Impact in Agricultural and Life Sciences 12 (3): 45–58.
Formats any DOI in NJAS Impact in Agricultural and Life Sciences style. No sign-up. |
| Publishes research in | Agricultural Innovations and Practices Organic Food and Agriculture Climate change impacts on agriculture Agricultural risk and resilience Agriculture Sustainability and Environmental Impact |
| ISSN | 2768-5241 |
| Citation impact (2-yr) | 1.67 |
| h-index | 11 |
| i10-index | 12 |
| Total citations | 597 |
| Top institutions publishing here | Wageningen University & Research |
| Journal website | www.tandfonline.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Innovations in digital technologies, especially in artificial intelligence (AI), promise substantial benefits to the agricultural sector. Agriculture is increasingly expected to ensure food security and food safety while at the same time considering the environmental aspects. AI in the agricultural sector offers the potential to feed a continuously growing global population and still contribute to…
In this paper, we survey the ethical, social, and policy issues that are likely to arise as Artificial Intelligence (AI) begins to impact on agriculture. We highlight possible unintended consequences of the adoption of this technology, which have been neglected in most discussions of the topic to date. A range of current, as well as…
Digital Twins are computational representations of both living and non-living entities and processes, which can be used to analyse and simulate interventions in these entities and processes. When developing Digital Twins, it is important to anticipate on the societal, ethical and safety impacts they may have. Since in the agri-food domain Digital Twins are still…
The complexity of livestock production systems implies the interrelation of physical, technical, social, environmental, and animal factors. This study aimed (i) to classify and characterize farms in representative typologies and (ii) to point out the main factors responsible for the differences between the sheep farm typologies in Brazilian semiarid region. A structured questionnaire with 29…
Digital twins provide a new paradigm for the integrated use of sensor data, process-based and data-driven modelling, and user interaction, to explore the behaviour of individual objects and processes. Digital twins originate from an engineering context and were developed for machines and mainly physical and chemical processes. In this paper, we further develop an understanding…
Journal of Applied Statistics
Journal of Modern Optics
Journal of Statistical Computation and Simulation
Materials Research Letters
Numerical Heat Transfer, Part A: Applications
Quality Engineering
Science and Technology of Advanced Materials
Stochastics: An International Journal of Probability and Stochastic Processes
