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Information Processing 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 | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Information Processing in Agriculture 12 (2023) 45–58.
Formats any DOI in Information Processing in Agriculture style. No sign-up. |
| Publishes research in | Smart Agriculture and AI Spectroscopy and Chemometric Analyses Remote Sensing in Agriculture Leaf Properties and Growth Measurement Greenhouse Technology and Climate Control |
| ISSN | 2214-3173 |
| Citation impact (2-yr) | 4.28 |
| h-index | 74 |
| i10-index | 357 |
| Total citations | 22,354 |
| Article processing charge | $2,000 |
| Open access | Yes |
| Top institutions publishing here | China Agricultural University |
| 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.
Agricultural productivity is something on which economy highly depends. This is the one of the reasons that disease detection in plants plays an important role in agriculture field, as having disease in plants are quite natural. If proper care is not taken in this area then it causes serious effects on plants and due to…
Computer vision is a field that involves making a machine “see”. This technology uses a camera and computer instead of the human eye to identify, track and measure targets for further image processing. With the development of computer vision, such technology has been widely used in the field of agricultural automation and plays a key…
Fast and accurate plant disease detection is critical to increasing agricultural productivity in a sustainable way. Traditionally, human experts have been relied upon to diagnose anomalies in plants caused by diseases, pests, nutritional deficiencies or extreme weather. However, this is expensive, time consuming and in some cases impractical. To counter these challenges, research into the…
Thermal blanching is an essential operation for many fruits and vegetables processing. It not only contributes to the inactivation of polyphenol oxidase (PPO), peroxidase (POD), but also affects other quality attributes of products. Herein we review the current status of thermal blanching. Firstly, the purposes of blanching, which include inactivating enzymes, enhancing drying rate and…
This paper reviews advanced Neural Network (NN) techniques available to process hyperspectral data, with a special emphasis on plant disease detection. Firstly, we provide a review on NN mechanism, types, models, and classifiers that use different algorithms to process hyperspectral data. Then we highlight the current state of imaging and nonimaging hyperspectral data for early…
