Special Issue "Technological Innovation for Measurements on Crop Physiological and Agronomic Traits"
Deadline for manuscript submissions: 15 December 2023 | Viewed by 6191
2. School of Applied Systems Biology, La Trobe University, Bundoora, VIC 3083, Australia
Interests: plant phenomics; digital agriculture; crop physiology; breeding, genomics; precision agriculture; remote sensing
Special Issues, Collections and Topics in MDPI journals
As global food demands continue to increase with a growing world population, yield improvement achieved using traditional methods has become insufficient to meet current and future food requirements. This has led to the development of novel techniques in agriculture including phenomics, remote sensing, smart sensors, and precision agriculture. These technological innovations are playing key roles for faster and automated measurements of crop physiological and agronomic traits for breeding of improved crop varieties.
These technologies comprise digital sensors, cameras, imaging systems, robotics, UAVs, satellite-based systems, data-processing algorithms, and computer learning. These advancements are increasing the precision, accuracy, and throughput of data collection, while reducing costs and resource usage, as well as improving our understanding of novel crop traits previously unexplored due to method or resource constraints.
In this Special Issue, we aim to cover advanced digital, automated, and reliable measurements and data analytics for traits such as growth (e.g., biomass, growth rate, yield), morphological (plant height, area, branching, architecture), phenological (growth stages), plant health (greenness, senescence), and physiological (canopy temperature, chlorophyll, nitrogen, photosynthesis). These measurements are deployed in crops under various scenarios, including but not limited to biotic and abiotic stress tolerance, increasing nutrient use efficiency, crop monitoring, and yield and quality improvement.
Dr. Surya Kant
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.
- digital sensors
- precision agriculture
- machine learning
- crop stress tolerance (e.g., nutrients, diseases, drought, cold and heat)
- crop growth, biomass, and yield
- plant phenotyping
- remote sensing
- UAV, satellite