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Smart Agricultural Technology is a peer-reviewed journal published by Elsevier, covering Smart Agriculture and AI, Remote Sensing in Agriculture, Spectroscopy and Chemometric Analyses.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Smart Agricultural Technology 12 (2023) 45–58.
Formats any DOI in Smart Agricultural Technology style. No sign-up. |
| Publishes research in | Smart Agriculture and AI Remote Sensing in Agriculture Spectroscopy and Chemometric Analyses Greenhouse Technology and Climate Control Animal Behavior and Welfare Studies |
| ISSN | 2772-3755 |
| Citation impact (2-yr) | 4.69 |
| h-index | 61 |
| i10-index | 492 |
| Total citations | 20,267 |
| Article processing charge | $1,800 |
| Open access | Yes |
| Top institutions publishing here | Ministry of Agriculture and Rural Affairs |
| Journal website | www.journals.elsevier.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.
Several factors associated with disease diagnosis in plants using deep learning techniques must be considered to develop a robust system for accurate disease management. A considerable number of studies have investigated the potential of deep learning techniques for precision agriculture in the last decade. However, despite the range of applications, several gaps within plant disease…
The Digital Twin enables the distinctions between state sensing, entity understanding and physical automation to be eliminated, through high-fidelity modelling and bi-directional data streams. The concept of real-time virtual representation places the Digital Twin in a unique position to enable digitization in agriculture. The union of data, modelling and what-if simulation can provide an approach…
The article provides a comprehensive review of the use of the Internet of Things (IoT) in agriculture, along with its advantages and disadvantages. However, it's important to recognize that IoT holds immense potential for generating new ideas that could drive innovations in modern agriculture and address several challenges faced by farmers today. Applications such as…
Plant diseases often reduce crop yield and product quality; therefore, plant disease diagnosis plays a vital role in farmers’ management decisions. Visual crop inspections by humans are time-consuming and challenging tasks and, practically, can only be performed in small areas at a given time, especially since many diseases have similar symptoms. An intelligent machine vision…
In general, agriculture plays a crucial role in human survival as a primary source of food, alongside other sources such as fishing. Unfortunately, global warming and other environmental issues, particularly in less privileged nations, hamper the Agricultural sector. It is estimated that a range of 720 to 811 million individuals experienced food insecurity. Today's agriculture…
