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IEEE Transactions on AgriFood Electronics is a peer-reviewed journal published by IEEE, covering Smart Agriculture and AI, Spectroscopy and Chemometric Analyses, Advanced Chemical Sensor Technologies. Over its lifetime it has published 218 papers, which have received 936 citations.
| Publisher | IEEE |
|---|---|
| Reference style | Numbered (IEEE) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, and C. Lee, "A representative article title," IEEE Transactions on AgriFood Electronics, vol. 12, no. 3, pp. 45–58, 2023.
Formats any DOI in IEEE Transactions on AgriFood Electronics style. No sign-up. |
| Abbreviation (ISO-4) | TAFE |
| Publishes research in | Smart Agriculture and AI Spectroscopy and Chemometric Analyses Advanced Chemical Sensor Technologies Diverse Scientific and Economic Studies Food Supply Chain Traceability |
| ISSN | 2771-9529 |
| Citation impact (2-yr) | 3.63 |
| h-index | 14 |
| i10-index | 34 |
| Top institutions publishing here | Free University of Bozen-Bolzano |
| 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.
Agriculture production is one of the fundamental contributors to a nation's economic development. Every year, plant diseases result in significant crop losses that threaten the global food supply chain. Early estimation of plant diseases could play an essential role in safeguarding crops and fostering economic growth. Recently, hyperspectral imaging techniques have emerged as powerful tools…
In this article, the grades of mangoes were classified using an AlexNet–spatial pyramid pooling network (SPP-Net) with a segmentation algorithm based on a Mask region-based convolutional neural network (R-CNN). Computer vision technologies have begun to be used for fruit grade classification, and this is a major topic of interest in agricultural automation. However, because insufficient…
In this article, an innovative deep learning-driven framework, adapted for the identification of diseases in strawberry plants, is proposed. Our approach encompasses a comprehensive embedded electronic system, incorporating sensor data acquisition and image capturing from the plants. These images are seamlessly transmitted to the cloud through a dedicated gateway for subsequent analysis. The research introduces…
Precision agriculture involves the strategic utilization of resources, precise application of inputs, and continuous monitoring of crop health with the aim of enhancing productivity and sustainability in the field of agriculture. However, seed quality is difficult since natural differences among seed batches may affect germination rates, vigor, and crop performance. Hence, in this article, a…
Crop yield prediction is a crucial task in agricultural science, involving the classification of potential yield into various levels. This is vital for both farmers and policymakers. The features considered for this task are diverse, including weather, soil, and historical yield data. Recently, plant images captured in different modalities, such as red–green–blue, infrared, and multispectral…
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