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Agriculture
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The Application of Near-Infrared Spectroscopy in Agriculture
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The Application of Near-Infrared Spectroscopy in Agriculture

A special issue of Agriculture (ISSN 2077-0472). This special issue belongs to the section "Agricultural Technology".

Deadline for manuscript submissions: closed (31 July 2024) | Viewed by 4371

Special Issue Editors

Dr. George Bazar

E-Mail Website
Guest Editor
Correltech Laboratory, ADEXGO Kft., 1222 Budapest, Hungary
Interests: near-infrared spectroscopy; electronic nose; multivariate data analysis; chemometrics; food quality
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Tamás Tóth

E-Mail Website
Guest Editor
Agricultural and Food Research Centre, Széchenyi István University, Egyetem tér 1, 9026 Győr, Hungary
Interests: near-infrared spectroscopy; animal nutrition; feed technology; quality assessment; aroma sensing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Near-infrared spectroscopy started its rise in agriculture. Since the middle of the 20th century when Karl Norris at USDA and his pioneer fellows worldwide laid down the principals of the technology, it has spread to many other fields of science and industry. Due to the developments in hardware and software technology in recent years, NIR technology is now used routinely, even by non-specialists, in a wide variety of applications. As NIR spectroscopy is often used in agriculture without or with the minor preparation of highly complex natural samples, it is very important to gain knowledge about the effects of the various factors influencing the performance. These factors may include sampling, sample preparation and presentation to measurement, physical and chemical matrices, spectrometer technology, data pretreatment, data evaluation methods, results interpretation, the spectroscopic relevance of the targeted estimate, or the user’s care at any point.

This Special Issue aims to collect studies discussing the recent developments of NIR spectroscopy for the qualification of agricultural products at any point of the supply chain, from soil to feed and food. Studies summarizing experiences with novel sample matrices, hardware technologies, in-line or field applications, and data evaluation protocols are highly favored. Comparisons with other non-targeted or targeted, rapid or classical analytical approaches will be acknowledged.

You may choose our Joint Special Issue in Agronomy.

Dr. George Bazar
Prof. Dr. Tamás Tóth
Guest Editors

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 submissions that pass pre-check are 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. Agriculture is an international peer-reviewed open access monthly 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 2600 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.

Keywords

  • near-infrared spectroscopy
  • chemometrics
  • crop production
  • horticulture
  • animal husbandry
  • soil
  • feed
  • food
  • fruit
  • crop
  • animal product
  • milk
  • dairy
  • meat
  • egg
  • honey
  • quality assessment
  • process analytical technique

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Related Special Issue

Published Papers (2 papers)

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15 pages, 4924 KiB  
Article
On-the-Go Vis-NIR Spectroscopy for Field-Scale Spatial-Temporal Monitoring of Soil Organic Carbon
by Javier Reyes and Mareike Ließ
Agriculture 2023, 13(8), 1611; https://doi.org/10.3390/agriculture13081611 - 15 Aug 2023
Cited by 3 | Viewed by 1583
Abstract
Agricultural soils serve as crucial storage sites for soil organic carbon (SOC). Their appropriate management is pivotal for mitigating climate change. Continuous monitoring is imperative to evaluate spatial and temporal changes in SOC within agricultural fields. In-field datasets of Vis-NIR soil spectra were [...] Read more.
Agricultural soils serve as crucial storage sites for soil organic carbon (SOC). Their appropriate management is pivotal for mitigating climate change. Continuous monitoring is imperative to evaluate spatial and temporal changes in SOC within agricultural fields. In-field datasets of Vis-NIR soil spectra were collected on a long-term experimental site using an on-the-go spectrophotometer. Data processing for continuous SOC prediction involves a two-step modeling approach. In Step 1, a partial least square (PLSR) regression model is trained to establish a relationship between the SOC content and spectral information, including spectral preprocessing. In Step 2, the predicted SOC content obtained from the PLSR models is interpolated using ordinary kriging. Among the tested spectral preprocessing techniques and semivariogram models, Savitzky–Golay and the Gap-Segment derivative preprocessing along with a Gaussian semivariogram model, yielded the best performance resulting in a root mean square error of 1.24 and 1.26 g kg−1. A striping effect due to the transect-based data collection was addressed by testing the effectiveness of extending the spatial separation distance, employing data aggregation, and defining the distribution based on treatment plots using block kriging. Overall, the results highlight the high potential of on-the-go spectral Vis-NIR data for field-scale spatial-temporal monitoring of SOC. Full article
(This article belongs to the Special Issue The Application of Near-Infrared Spectroscopy in Agriculture)
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17 pages, 11688 KiB  
Article
Near-Infrared Spectroscopy Integration in the Regular Monitorization of Pasture Nutritional Properties and Gas Production
by Cristiana Maduro Dias, Helder Nunes and Alfredo Borba
Agriculture 2023, 13(7), 1398; https://doi.org/10.3390/agriculture13071398 - 14 Jul 2023
Cited by 2 | Viewed by 1425
Abstract
Nutrition has a very significant impact on animal performance. Given the limited agricultural area of the Azores, the optimization of forage quality, quantity, and availability is key for the local livestock industry’s ability to respond to the challenges of an increasingly globalized market. [...] Read more.
Nutrition has a very significant impact on animal performance. Given the limited agricultural area of the Azores, the optimization of forage quality, quantity, and availability is key for the local livestock industry’s ability to respond to the challenges of an increasingly globalized market. This work’s goal was to evaluate the use of near-infrared spectroscopy to determine several chemical and biological parameters of pastures under the agroclimatic conditions of the Azores, and to compare its predicative ability when applied to dry homogeneous samples and to fresh inhomogeneous samples, so that we can assess the feasibility of using it to predict new samples on-site in the future. Infrared spectra of 400 fresh and dried grass samples were collected and associated with the corresponding reference values, determined through conventional methods. Mathematical models were created that established relationships between these readings and the values of the properties of interest. Predictive capacity proved especially good for crude protein, neutral detergent fiber, acid detergent fiber, ash, and dry matter, but insufficient for the biological parameters included in the study related to gas production. Near-infrared spectroscopy proved to be useable on-site as a quick, non-destructive, and cost-effective technique to monitor forage quality on a regular basis, enabling forage management and diet design optimizations. Full article
(This article belongs to the Special Issue The Application of Near-Infrared Spectroscopy in Agriculture)
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