Practical Applications of Chlorophyll Fluorescence Measurements
A special issue of Plants (ISSN 2223-7747). This special issue belongs to the section "Plant Modeling".
Deadline for manuscript submissions: 20 November 2024 | Viewed by 530
Special Issue Editors
Interests: fluorescence sensors; chlorophyll fluorescence analysis; photochemistry of photosynthesis; plant stress; physiology of plants and algae; plant talk and machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: chlorophyll fluorescence; photosynthesis; plant stresses; physiology of plants and algae; green infrastructure; plants in urban areas
Special Issues, Collections and Topics in MDPI journals
Interests: photosynthesis and chlorophyll a fluorescence analysis in plants; abiotic stress tolerance in plants; conservation of threatened plants; in vitro morphogenesis in plants
Special Issue Information
Dear Colleagues,
Currently, chlorophyll fluorescence measurement is regarded as one of the most promising tools in environmental, biological, agricultural, and horticultural sciences. The objective of this Special Issue of Plants is to gather impactful papers that are related to the practical application of chlorophyll fluorescence measurement across various domains, including plant sciences, ecosystem monitoring, industrial applications, and the commercial and civil sectors.
This technique’s utility in non-invasively monitoring the health and stress responses of plants makes it invaluable in sustainable agriculture practices and precision farming. By assessing how plants absorb light and convert it to energy, chlorophyll fluorescence can reveal much about a plant’s physiological state under different environmental conditions.
Further integration of chlorophyll fluorescence with Artificial Intelligence (AI) and Machine Learning (ML) technologies opens new avenues for advancements. AI and ML can enhance the interpretation of fluorescence data, providing more accurate assessments of plant health, predicting future growth patterns, and optimizing conditions for plant resilience. Moreover, the combination of chlorophyll fluorescence measurement with AI and ML can facilitate the creation of biological feedback systems that enable plants to control their growth environments.
Potential papers may cover, but are not limited to, the following topics:
- The development of AI models that integrate chlorophyll fluorescence data to track plant health and productivity.
- Machine Learning algorithms for predicting plant physiological status, diseases, and pests based on fluorescence signals.
- The use of drone and satellite imaging to measure chlorophyll fluorescence at a large scale for ecosystem monitoring or agricultural management.
- Case studies on the use of chlorophyll fluorescence in agriculture and horticulture to improve plant breeding and reduce costs and waste.
- Innovative approaches in hardware and software for enhancing the sensitivity and accuracy of chlorophyll fluorescence measurements.
This Special Issue aims to showcase research that exemplifies the intersection of chlorophyll fluorescence with cutting-edge computational technologies, highlighting the technique’s potential to revolutionize fields from bio-monitoring to commercial agriculture. Contributions that demonstrate novel applications, particularly those that bridge traditional scientific boundaries, are especially welcomed.
Prof. Dr. Hazem M. Kalaji
Dr. Piotr Dabrowski
Dr. Soni Vineet
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. Plants is an international peer-reviewed open access semimonthly 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 2700 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
- abiotic and biotic stresses
- agricultural management
- artificial intelligence (AI)
- biological feedback systems
- chlorophyll fluorescence measurement
- ecosystem monitoring
- machine learning (ML)
- plant health
- precision farming
- sustainable agriculture
- technological integration
