Agriculture automation is the main concern and emerging subject for every country. The world population is increasing at a very fast rate and with increase in population the need for food increases briskly. Traditional methods used by farmers aren't sufficient enough to serve the increasing demand and so they have to hamper the soil by…
Artificial Intelligence in Agriculture Template
Write in a clean editor, then format for Artificial Intelligence in Agriculture in one click — DocuGuru applies the official Elsevier template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Artificial Intelligence in Agriculture format
Artificial Intelligence in Agriculture is a peer-reviewed journal published by Elsevier, covering Smart Agriculture and AI, Spectroscopy and Chemometric Analyses, Remote Sensing in Agriculture.
| Publisher | Elsevier |
|---|---|
| Reference style | Author–year (Harvard) Author–year — (Smith, 2023) in the text Smith, A., Jones, B. and Lee, C. (2023) 'A representative article title', Artificial Intelligence in Agriculture, 12(3), pp. 45–58.
Formats any DOI in Artificial Intelligence in Agriculture style. No sign-up. |
| Publishes research in | Smart Agriculture and AI Spectroscopy and Chemometric Analyses Remote Sensing in Agriculture Animal Behavior and Welfare Studies Food Supply Chain Traceability |
| ISSN | 2589-7217 |
| Citation impact (2-yr) | 8.63 |
| h-index | 48 |
| i10-index | 151 |
| Total citations | 11,691 |
| Article processing charge | $700 |
| Open access | Yes |
| Top institutions publishing here | Ministry of Agriculture and Rural Affairs |
| Journal website | www.sciencedirect.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Artificial Intelligence in Agriculture per year
Citation impact of Artificial Intelligence in Agriculture by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Artificial Intelligence in Agriculture
Agriculture plays a significant role in the economic sector. The automation in agriculture is the main concern and the emerging subject across the world. The population is increasing tremendously and with this increase the demand of food and employment is also increasing. The traditional methods which were used by the farmers, were not sufficient enough…
An e-nose or an e-tongue is a group of gas sensors or chemical sensors that simulate human nose or human tongue. Both e-nose and e-tongue have shown great promise and utility in improving assessments of food quality characteristics compared with traditional detection methods. This review summarizes the application of e-nose and e-tongue in determining the…
In recent times, the use of artificial intelligence (AI) in agriculture has become the most important. The technology adoption in agriculture if creatively approached. Controlling on the diseased leaves during the growing stages of crops is a crucial step. The disease detection, classification, and analysis of diseased leaves at an early stage, as well as…
The growing population and effect of climate change have put a huge responsibility on the agriculture sector to increase food-grain production and productivity. In most of the countries where the expansion of cropland is merely impossible, agriculture automation has become the only option and is the need of the hour. Internet of things and Artificial…