Special Issue "Hyperspectral Imaging Technique in Agriculture"
A special issue of AgriEngineering (ISSN 2624-7402).
Deadline for manuscript submissions: 28 February 2022.
In recent years, precision agriculture (PA) has been urgently needed for whole-farm management. Optical sensing, which is among the most useful PA tools, has been widely applied in detecting crop and food responses. Among these techniques, hyperspectral imaging has been adopted as a powerful method to achieve such targets. HSI acquires a three-dimensional dataset called a hypercube, with two spatial dimensions and one spectral dimension, from visible to near-infrared or even short infrared wavelengths. Spatially resolved spectral imaging obtained by HSI provides diagnostic information on tissue physiology, morphology, and composition. This Special Issue will focus on hyperspectral imaging techniques in agriculture—from the fundamentals of sensing systems to novel applications for agricultural purposes.
The large-scale farming of agricultural crops requires on-time detection management. Hyperspectral remote sensing data taken from low-altitude flights usually have high spectral and spatial resolutions, while the application of such a technique is affected by the precision and accuracy under field conditions. In addition to sensors, reducing the high dimensionality of hypercubes is also becoming important for agriculture. Hyperspectral imaging applied in labs or fields could contribute to improvements in data collection, data mining, and result validation.
This Special Issue aims to promote the development of hyperspectral imaging techniques in agriculture. We would like to invite the scientific community to submit their research related to hyperspectral imaging in agriculture. Contributions could include, but are not limited to, the following: precision agriculture, hyperspectral imaging, smart farming, remote sensing, platforms and sensors, machine vision, robotics in agriculture, the Internet of Things, machine learning, and deep learning.
Dr. Zongmei Gao
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. AgriEngineering is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- hyperspectral imaging
- precision agriculture
- remote sensing
- platforms and sensors
- machine vision
- Internet of Things
- machine learning
- deep learning
- artificial intelligence