The Use of NIR Spectroscopy in Smart Agriculture
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Precision and Digital Agriculture".
Deadline for manuscript submissions: 31 May 2024 | Viewed by 163
Special Issue Editors
Interests: preharvest physiology; abiotic stress; calcium in fruit postharvest behavior; physiological disorders; fruit quality; cell wall composition; nutrition and irrigation impact on fruit quality; spectroscopy as a new tool to analyze fruit quality
Special Issues, Collections and Topics in MDPI journals
Interests: winemaking; viticulture; food chemistry; food analysis; anthocyanins; fruit science; polyphenols; phenolic compounds; extraction; hyperspectral imaging; near infrared spectroscopy; partial least squares; chemical engineering; wine; sensory analysis; infrared spectroscopy; secondary metabolites; image analysis; chemometrics; antioxidant activity; wine chemistry
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart agriculture is a new concept of crop production that uses highly sophisticated technology to monitor and control the entire production process without human intervention. In the past few years, this concept has gained major importance due to decreased manual labor. The monitoring of wide crop areas using real-time data collected by proximal sensors, satellites, and drones will increase the efficiency and sustainability of agricultural practices. Through sophisticated processes of data analysis, ‘predict and build’ support systems will be available to farmers, contributing to better overall control of the production process. Furthermore, in the context of climate change, smart agriculture will enable us to recognize the negative effects of this and quickly react to mitigate these effects.
NIR spectroscopy provides non-destructive, rapid, and accurate information about various agricultural parameters, enabling this technology to be used in smart agriculture. Many agricultural parameters can be analyzed using NIR spectroscopy such as soil fertility, crop nutritional status, pest and disease monitoring, and fruit quality. This technology will make analytical processes faster, allowing the acquisition of a large volume of data and the development of new decision support systems.
Dr. Ana Elisa Rato
Dr. Julio Nogales-Bueno
Guest Editors
Manuscript Submission Information
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Keywords
- NIR spectroscopy
- soil fertility
- tree nutrients
- soluble solid content
- phenols
- anthocyanins
