Fluorescence and Spectroscopic Techniques in Agriculture and Biological Products

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Optical and Photonic Biosensors".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 3192

Special Issue Editors

College of Engineering, China Agricultural University, Beijing 100083, China
Interests: smart urban agriculture; artificial intelligence; agricultural robotics; automated control; unmanned aerial vehicle; plant phenotyping; computer vision; crop plant signaling; machine (deep) learning; food processing and safety; fluorescence imaging; hyper/multispectral imaging; Vis/NIR/MIR imaging spectroscopy
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Guest Editor
Department of Plant Physiology, University of Granada, Granada, Spain
Interests: plant phenotyping; chlorophyll fluorescence; hyperspectral reflectance; thermography; plant stress detection
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Climate change poses a threat to the sustainable development of agriculture and biosystems. A great challenge for agricultural and biological science is to ensure that crop yields and bioproduct quality meet the demands of a growing population in the future. The interaction between genotypes and their environments controls the biophysical properties of crop plants, manifested in observable traits, i.e., plant phenotypes, which influence resource acquisition, performance, and yield. Moreover, the demand for the high quality and safety of agricultural products requires appropriate analytical tools to investigate them in order to achieve high standards of food quality and process control. With the rapid development of biosensing, fluorescence and spectroscopic techniques are becoming preferred tools for phenotypic analyses of crop plants, as well as for quality and safety analyses of bioproducts. In this Special Issue, we encourage the submission of original research articles and review articles on recent advancements in advanced methods based on fluorescence and spectroscopy to assess complex plant traits, such as growth, development, tolerance, resistance, architecture, and physiology, as well as the safety and nutrients of postharvest agricultural and biological products to meet the planet's need for plentiful, nutritious, and flavorful product supplies.

Dr. Wen-Hao Su
Dr. María Luisa Pérez-Bueno
Guest Editors

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Published Papers (1 paper)

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Review

20 pages, 3312 KiB  
Review
Early-Stage Detection of Biotic and Abiotic Stress on Plants by Chlorophyll Fluorescence Imaging Analysis
by Julietta Moustaka and Michael Moustakas
Biosensors 2023, 13(8), 796; https://doi.org/10.3390/bios13080796 - 08 Aug 2023
Cited by 13 | Viewed by 2564
Abstract
Most agricultural land, as a result of climate change, experiences severe stress that significantly reduces agricultural yields. Crop sensing by imaging techniques allows early-stage detection of biotic or abiotic stress to avoid damage and significant yield losses. Among the top certified imaging techniques [...] Read more.
Most agricultural land, as a result of climate change, experiences severe stress that significantly reduces agricultural yields. Crop sensing by imaging techniques allows early-stage detection of biotic or abiotic stress to avoid damage and significant yield losses. Among the top certified imaging techniques for plant stress detection is chlorophyll a fluorescence imaging, which can evaluate spatiotemporal leaf changes, permitting the pre-symptomatic monitoring of plant physiological status long before any visible symptoms develop, allowing for high-throughput assessment. Here, we review different examples of how chlorophyll a fluorescence imaging analysis can be used to evaluate biotic and abiotic stress. Chlorophyll a is able to detect biotic stress as early as 15 min after Spodoptera exigua feeding, or 30 min after Botrytis cinerea application on tomato plants, or on the onset of water-deficit stress, and thus has potential for early stress detection. Chlorophyll fluorescence (ChlF) analysis is a rapid, non-invasive, easy to perform, low-cost, and highly sensitive method that can estimate photosynthetic performance and detect the influence of diverse stresses on plants. In terms of ChlF parameters, the fraction of open photosystem II (PSII) reaction centers (qp) can be used for early stress detection, since it has been found in many recent studies to be the most accurate and appropriate indicator for ChlF-based screening of the impact of environmental stress on plants. Full article
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