|
|
|
|
IPPN: Co-host found for IPPS2024!!
We are delighted to share some exciting news regarding the upcoming IPPS8 in 2024! The IPPN General Assembly recently voted on determining the co-host for this highly-anticipated
event.
As outlined in the IPPN conference roadmap, IPPS8 is scheduled to take place in the Americas, and we had two remarkable institutions in contention for this honor -
the
University of Nebraska-Lincoln and the
North Carolina Plant Science Initiative.
After careful deliberation and casting their votes, our dedicated IPPN members have reached a decision.
We are thrilled to announce that the University of Nebraska-Lincoln has emerged as the chosen co-host for IPPS8!
This decision marks a significant step in the preparations for IPPS8, which is expected to be a cornerstone event in the field of plant phenotyping. The University
of Nebraska-Lincoln brings a wealth of expertise and resources to the table, ensuring that this conference will be a resounding success.
Now, the IPPN and the University of Nebraska-Lincoln are embarking on the planning process for IPPS8.
The tentative timeframe for IPPS8 is during the autumn of 2024. Please stay tuned for updates as we work diligently to finalize the details and provide you with more
information about this exciting event.
We extend our heartfelt gratitude to all IPPN members for their active participation in the voting process, and we look forward to your continued support as we move
closer to IPPS8.
Thank you for being an essential part of the IPPN community, and we can't wait to make IPPS8 a remarkable success together!
|
|
|
|
|
[AgroServ] OPEN CALL for pre-proposal for access to facilities addressing diverse questions in agroecology
The
Horizon Europe project AgroServ
is pleased to announce the official launch of its
first call for proposals open to scientists from academia and/or the industry: DEADLINE
FOR PRE-PROPOSALS: October 23rd, 2023, 12:00 am CEST.
The Transnational Access Call is open to scientists who want to access the research services and installations managed by the AgroServ consortium and covering more
than
8 scientific domains.
Researchers or research groups interested in accessing these services should submit
proposals of projects that address interdisciplinary topics related to agroecology to enable the interaction of communities of researchers in widely separated areas. Access is granted on
the basis of scientific excellence to ensure feasibility of the projects and their scientific quality.
AgroServ enables access to
143 research installations across Europe for researchers from academia and the industry (physical, remote and virtual
access). The installations can be used for experiments with scientific or technological objectives to answer basic and applied questions related to
sustainable and resilient agriculture and agroecological transitions.
The application to access our research facilities is
a two-step process.
Learn
more about the application procedure and send your pre-proposals before October 23rd, 2023, 12:00 am CEST.
|
|
|
|
|
Wrap up: PhenoVeg 2023
On 26-27 September 2023, 105 participants from 10 countries, representing advanced research institutes and private companies, came together at
World Vegetable Center headquarters in Taiwan to share their experiences on the latest developments in phenotyping technologies, and how to apply the data produced into concrete outcomes for improved plant breeding. Roland
Schafleitner (World Vegetable Center) gave the welcome address, before the opening session set the scene.
Over two days, participants listened intently to 20 detailed presentations, posters presenters and demonstrations. Jennifer Clarke (University
of Nebraska-Lincoln) summed up the event nicely. “I was impressed by the synergies between basic and applied research, and to see such a vibrant and dynamic community including many keen young researchers. We are certainly advancing towards solving
the problems of climate change and food security, and from what I have seen these days, I am optimistic that we will achieve our goals.”
Book of abstracts
The event was organized by the World Vegetable Center in collaboration with the Taiwan Agricultural Research Institute, National Taiwan University and Academia Sinica, with financial support from the Ministry
of Agriculture of Taiwan. This article was provided by Dr. Roland Schafleitner, WorldVeg)
|
|
|
|
|
Chinese Academy of Science representatives tour EU to foster collaboration
A group of Chinese scientists from the Chinese
Academy of Sciences,
Huazhong Agricultural University, the companies Sanya Boruiyuan Technology and
PhenoTrait visited several institutions within Europe and discussed how plant phenotyping can foster advancement towards sustainable agriculture. Along the way they visited destinations in France (INRAe),
The Netherlands (WUR) & Germany (FZJ,
IBG-2 &
IPK). The participants elaborated new phenotyping approaches by demonstrating use cases, visiting the facilities and field sites and discussing international interaction within the Research Infrastructure
EMPHASIS and
International Plant Phenotyping Network.
|
|
|
|
|
UK's Advanced Plant Growth Centre Hits a Key Milestone
One of Europe’s newest phenotyping platforms has awarded the contract for the design and construction of plant growth and phenotyping facilities.
The Advanced Plant Growth Centre at the James Hutton Institute in Dundee, Scotland is a Ł27M facility that aims to use next generation high precision-controlled environment facilities linked to state-of-the-art phenotyping to accelerate the development of climate
resilient crops.
The facility, which is scheduled to open in 2024 will provide a total of 12 advanced and independently controlled growth rooms with a range of functionalities. All rooms are designed with the capacity to grow a range of crops with a floor area of over 10 m2
and a height of 2.7 m and in addition to temperature and humidity control, have the capacity to maintain CO2 concentration from ambient to 1500 mmol mol-1. Four rooms are designed with photobiology to the forefront with seven channel
LED control, spanning areas of the spectrum from UVA to far red and the capacity to deliver up to 600 mmol m-2 s-1 PAR at canopy level. The remaining eight rooms have been designated as high light growth rooms delivering up to 1500 mmol
m-2 s-1 PAR in a simulated daylight spectrum with additional independent control of blue (470 nm), deep red (680 nm) and far red (735 nm) allowing dynamic lighting to mimic spectral changes as the sun traverses the sky.
Four of the high light rooms are to be connected by conveyors capable of handling a range of pot configurations to a range of state of the art imaging stations and providing the flexibility to mage everything from Arabidopsis to cereals, potatoes and woody
shrubs with a capacity ranging from 200 – 4000 plants depending on size. Imaging facilities include top and side view RGB, dynamic chlorophyll fluorescence with dark and light adaptation, VNIR/SWIR hyperspectral imaging and 3D laser triangulation scanner.
The platform is additionally equipped with a weighing-watering station providing information on crop water use.
Following a rigorous procurement process and the submission of three excellent quality tenders, the Advanced Plant Growth Centre are pleased to announce that Photon Systems Instruments have been appointed to build and commission the growth rooms and phenotyping
facility.
(Text & pictures provided by Dr
Robert D Hancock, The James Hutton Institute)
|
|
|
|
|
Lincoln Plant Phenotyping Platform (L3P) : A semi-automated robotic phenotyping platform
The robotic phenotyping platform, L3P, allows non-invasive and digital phenotyping of above-ground canopy of crop plants grown under field conditions. The high-throughput
phenotyping platform is equipped with dual 3D laser scanners (Phenospex scanners) and diverse 2D sensors (multispectral, hyperspectral, and thermal cameras).
The platform is a reconfigurable modular robot with four-wheel drive and steering with good traction in rough terrains. It can comfortably pass over fully-grown cereal crops. The platform is fully electric and runs on 48 V lithium-ion batteries, usually lasting
for 6-8 hours. All these modules of the platform can be further tailored.
The platform allows simultaneous collection of 3D data and diverse sensors data at the plot level under field conditions, enabling the derivation of different canopy architectural traits through 3D modelling giving the opportunity to examine genotypes for subtle
changes in canopy architectural and resource use efficiency traits.
(Text & pictures provided by Dr
Ravi Valluru , University of Lincoln)
|
|
|
|
|
NEW: NPEC growth room virtual tour
You can virtually access the plant growth module of the The Netherlands Plant Eco-phenotyping Centre (NPEC) yourself online. These growth rooms are used to analyse
thousands of plants in a single experiment. The rooms are packed with advanced phenotyping equipment to provide rapid insight into how different plant varieties behave in varying climate conditions.
|
|
|
|
|
Blog post: Calculating drought related plant parameters
Dutch sensor developer
Phenospex, most known for their 3D laser scanner "PlantEye", are providing regular blog posts enabling users to make most of their plant phenotping equipment. Although this article is directed towards users of Phenospex'
systems, much can be derived & used also for other users.
This method paper provides a detailed explanation of how data collected from DroughtSpotter and PlantEye can
be transformed into vital parameters that characterize the water use and transpiration response of plants. These parameters include:
-
Evapotranspiration signal
-
Evapotranspiration (g)
-
Evapotranspiration rate (g/h)
-
Normalized evapotranspiration rate (g/h/m2)
-
Water Use Efficiency (WUE)
By utilizing these parameters, it becomes easier to evaluate and compare different cultivars, treatments, or environmental conditions in terms of their enhanced ability
to withstand drought.
|
|
|
|
|
Blog post: New Plant Level Statistics for Phenotyping Vegetable Crops
In the ever-evolving landscape of plant phenotyping, there's a pressing need to get more information about the health and growth of the plants growing in experimental
fields. Our drone image processing software MAPEO now also offers a plant-level delineation feature – the solution for mapping individual plant. This new feature allows you to extract statistics
from your drone products from down the plant level up to the level of plot or field. This feature is specifically interesting for drone based phenotyping of vegetable crops for which most plot delineation solutions fail short. Expert Sam Oswald
explains more about the new plant delineation features and how it can improve your phenotyping.
|
|
|
|
|
Press release: Government backs climate-resilient pasture program
The New Zealand government is supporting a climate-resilient pasture program aimed at boosting the sustainability of farming. This initiative, backed by government
funding, focuses on developing more robust pastures that can better withstand the challenges posed by climate change, such as drought and extreme weather. The program will not only improve environmental outcomes but also contribute to the long-term resilience
and productivity of the country's agricultural sector. It is part of New Zealand's ongoing commitment to addressing climate change and ensuring a sustainable future for its agricultural industry.
IPPN member
AgReaserch is leading and implementing the new project co-funded by the NZ government, seed industry (Barenbrug and PGGW (DLF) as well as the farmer Levy based organisation DairyNZ. This is a new project with >$20 m investment
with the New Zealand government chipping in $8,4m. A significant part of this funding is allocated to the development of phenomics tools for ryegrass and white clover trait measurement, which is led by IPPN representative Kioumars Ghamkhar.
|
|
|
|
|
Purdue: Phenotyping Greenhouse Groundbreaking
Purdue’s College of Agriculture celebrated the groundbreaking for the university's new phenotyping greenhouse on September 15. The new facility will enable plants to
be integrated into the existing controlled environment phenotyping facility, and allow more research discoveries related to plant health, nutrition, drought and disease stress, and root health.
(Link to original article)
|
|
|
|
|
Video playlist: IPPS2022 Keynotes now available
It took some time, however now we have managed to upload all the keynote talks of last year's IPPS2022 onto our
IPPN Youtube-Channel.
For anyone who missed one of these and/or couldn't attend in-person in Wageningen, you can now watch part of this amazing conference on demand.
IPPS2022:
In 2022, over the span of 5 days (September 26- 30) the international plant phenotyping community gathered in the city of Wageningen.
In total, almost 450 attendees from more than 44 countries took part in the conference.
More than 25 sponsors & exhibitors contributed.
7 Keynotes, 22 Session-talks were held according to program.
173 Poster submissions were shown in dedicated poster rooms & 3 poster sessions.
|
|
|
|
|
IPPN Board Elections scheduled for end of 2023
Change is on the horizon as we approach the end of the legislative period for the current IPPN Board. The board's term, which has spanned four years, will come to a
close at the beginning of 2024.
Since the end of summer, we have been calling upon our valued IPPN members to participate in the process of suggesting potential board members.
The democratic essence of our organization is upheld through an inclusive voting process. At the end of 2023, we will conduct the voting to select the new board members.
This process will be carried out via email, ensuring that all IPPN members have the opportunity to participate, voice their preferences, and contribute to the IPPN's decision-making.
It's worth noting that this transition will result in the new board becoming active in the first quarter of 2024. The new leadership will bring fresh perspectives,
enthusiasm, and expertise to the IPPN, ensuring the continued growth and success of our organization.
As we move forward into this exciting period of change, we extend our deepest gratitude to all current IPPN board members for their continued support and active engagement
in shaping of our community.
|
|
|
|
|
Two New IPPN Members: WorldVeg & WPS
During summer 2023, two new full members joined IPPN:
1) WorldVeg
Bringing expertise in vegetable- & specialty crops, into our network, with Dr. Roland Schafleitner (Program Leader: Vegetable Diversity & Improvement; Head, Molecular Genetics) being IPPN representative.
2) WPS
Dutch horticulture & automation expert WPS
Michael Meijler will represent WPS inside IPPN & will bring his expertise in controlled environment phenotyping systems into IPPN's industry Section.
|
|
|
UPCOMING
EVENTS &
CONFERENCES
(A full & frequently updated events list can be found
here)
|
|
|
|
|
|
Fraunhofer Pheno-Talks: Next webinar's registration open; 25.10.; 15:30
Guest: Dr. Jan Behmann, Bayer AG, Machine Learning
& HDBD program lead
Topic: Phenotyping in plant protection research:
End-to-end data flow is key
The International Plant Phenotyping Network is supporting this webinar series to encourage the dissemination of knowledge,
technology, and applications in the field of plant phenotyping.
The Fraunhofer Pheno-Talks series will provide a platform to discuss the latest trends, developments and challenges in plant phenotyping. The Fraunhofer Pheno-Talks is a colaboration between IPPN's Phenomics Webinars &
Fraunhofer IIS/EZRT.
|
|
|
|
|
PhenoRob Networking Event: New Methods in Weed Control; 19.10.23; Bonn, Germany
PhenoRob cordially invites you to join their upcoming networking event on
19.10.2023, 1:00 PM - 5:00 PM, at
Universitätsclub Bonn to exchange ideas with stakeholders from industry, politics, farmers and end-users on new methods in weed control. The event will be opened by the Head of the Digitalization
Uni at the Federal Ministry of Food and Agriculture, Dr. Steffen Beerbaum. Participation is free of charge for you.
|
|
|
|
|
3rd African Plant Breeders Association Conference; 23.10. - 27.10.2023; Ben guerir, Morocco
The African Plant Breeders Association (APBA) Conference was initiated in 2019 to disseminate the latest knowledge and achievements in the field of agriculture, to
enhance research and development (R&D) for sustainable agriculture production systems in Africa.
APBA conference brings together around 400 international scientists and experts representing different national and international institutions (CGIAR research centers),
universities, research institutions, private companies, donors, etc.). It is a good opportunity for plant breeders, researchers, students, private companies as well as national agriculture policy makers to share their knowledge and discuss their research findings
and recent achievements. Such interactions will help in preparing strategies and partnerships to tackle future challenges in R&D for the African continent and open opportunities for potential collaborative actions. Two previous APBA conferences have been successfully
organized in Accra, Ghana (2019) and Kigali, Rwanda (2021). Both events significantly contributed to the promotion of international collaborations in basic, fundamental, applied and strategic research areas particularly in the field of crop improvement.
|
|
|
|
|
Metrology for Agriculture and Forestry 2023; 06-08.11.; Pisa, Italy
Since the first edition, MetroAgriFor intends to create an active and stimulating forum where academics, researchers and industry experts in the field of measurement
and data processing techniques for Agriculture, Forestry and Food can meet and share new advances and research results.
Attention is paid, but not limited to, new technologies for agriculture and forestry environment monitoring, food quality monitoring, metrology-assisted production
in agriculture, forestry and food industries, sensors and associated signal conditioning for agriculture and forestry, calibration methods for electronic test and measurement for environmental and food applications.
THEMATIC AREAS
-
Metrology, quality assurance and standardisation;
-
Sensors and measurement techniques;
-
Data analysis;
-
Applications.
WORKSHOP TOPICS
-
Sensor networking and integration;
-
Approaches and tools for measuring Food Quality;
-
Soil analysis, mapping and monitoring;
-
Crop analysis, mapping and monitoring;
-
Precision agriculture, forestry and livestock farming;
-
Measurements for agriculture, forestry and environment;
-
Agroclimatic measurements.
|
|
|
|
|
7th Conference on Cereal Biotechnology and Breeding; 07.-09.11.; Werningerode, Germany
EUCARPIA is glad to announce that the Conference on Cereal Biotechnology and Breeding (CBB7) will be held as a presence meeting in Wernigerode, Germany. In
addition, the 18th EWAC – The European Cereals Genetics Co-operative Conference will be prepared as a satellite meeting. Both conferences will be jointly organised with the Cereals Section of EUCARPIA - the European Association for Research on Plant Breeding.
Participants may submit different abstracts to both events.
The program will cover a wide spectrum of topics dealing with cereals genetics, breeding and biotechnology. It will be a platform for extending research networks and
the initiation of new collaborations.
In particular, we want to encourage young scientists to participate to CBB7 and to present their recent results. Therefore, we will offer 6 free student registration fees which will be selected and awarded based on the abstract submissions. Please indicate
your interest in applying for free subscription.
The plant phenotyping session to be held on
Thursday, November 9th 2023 will be hosted & rganized y IPPN working group chair Thomas Altmann (IPK Gartersleben)
|
|
|
|
|
Nordic Plant Phenotyping Workshop & final NordPlant Meeting, 23.-24.11.; Bĺstad, Sweden
NordPlant is coming to its sixth and last year. With this last annual meeting (22-23 November), we will try to sum up the last years’ progress around plant phenotyping
and modelling for future climates, but foremost we will look into the future of plant phenotyping!
Confirmed keynote speakers are IPPN working group chair David Rousseau (INREA): "Challenge and
opportunities for deep learning-based computer vision in plant imaging", and Shawn Kefauver (University of Barcelona): "AI in plant phenotyping - everywhere, all the time, or maybe not?"
We will also have presentations of the NordPlant researchers and Řystein Opedal (LU) "Evolvability and constraints in plant evolution".
The full program is here
The meeting will be in Hotell Skansen, Bĺstad, Sweden. The meeting will be back-to-back with the NPPN annual workshop 23-24 November. A number of rooms at Hotell Skansen
will be pre-booked for participants.
|
|
|
|
|
International Plant & Animal Genome / PAG 31, 12.-17.01.24; San
Diego, USA
The Plant and Animal Genome Conference is designed to provide a forum on recent developments and future plans for plant & animal genome projects. Consisting of technical
presentations, poster sessions, exhibits and workshops, the conference is an excellent opportunity to exchange ideas, and applications on this internationally important project.
Early Registration -
accepted up through and including October 31, 2023.
Standard Registration - November 1, 2023 through January 17, 2024.
|
|
|
|
|
SPIE Photonics West, 27.01-1.02.24; San Francisco, USA
This conference aims at bringing together these different aspects of photonic technologies in the field of plant sciences, agricultural research and the food chain
from a technical perspective.
SPIE is an event where the latest advances are shared by the optics and photonics community in lasers, biomedical optics and biophotonic technologies, quantum, and optoelectronics.
As part of this conference a dedicated session relevant to plant sciences & plant phenotyping will be organized:
Photonic Technologies in Plant and Agricultural Science
Conference Chairs: Dag Heinemann, Hannoversches Zentrum für Optische Technologien (Germany); Gerrit Polder, Wageningen Univ. & Research (Netherlands)
Program Committee: Bettina Berger, The Univ. of Adelaide (Australia); Thomas Dehoux, Univ. Claude Bernard Lyon 1 (France); Kareem Elsayad, Medizinische Univ. Wien (Austria); Hirofumi Kadono, Saitama Univ. (Japan); Tobias Kreklow, HAIP Solutions GmbH (Germany);
Wouter Saeys, KU Leuven (Belgium); Merve Wollweber, Laser Zentrum Hannover e.V. (Germany); Chenxu Yu, Iowa State Univ. of Science and Technology (United States)
POST-DEADLINE SUBMISSIONS ACCEPTED UNTIL 11-December
|
|
|
|
|
North American Plant Phenotyping Network (NaPPN) Annual Conference,
13.02.2024 - 15.02.2024 – West Lafayette, Indiana, USA
Conference registration is now open!
Registration information can be found here:
https://www.plantphenotyping.org/conference-registration. Note that a significant Early Bird discount ends on 12/1/2023, so be sure to register early!
There is also an application to be considered for travel funding to attend the 2024 conference, which can be found here:
https://www.plantphenotyping.org/travel-awards
For more information about the NAPPN Annual Conference, including keynote speakers, a draft program/agenda, and travel information to the venue, please visit the conference web page: https://www.plantphenotyping.org/conference-home
The NAPPN Annual Conference Call for Abstracts deadline has been
extended to October 30th!
|
|
|
|
|
Plant Phenomics: Object Detection & Image Segmentation
for Plant Phenotyping; Submission Deadline: December 31, 2023
Object detection and image segmentation are important research topics in computer vision and have been widely applied in real-world applications. Recently, object detection
and image segmentation using deep learning techniques have played important roles in plant phenotyping tasks, such as identifying crop diseases and insects and measuring and counting plant organs (leaves, stems, fruits, etc.). However, these techniques also
have certain unavoidable drawbacks; for example, acquiring, annotating, and maintaining large datasets for phenotyping tasks are still difficult and expensive. They are also often subjected to specific environmental conditions and target species.
This special issue welcomes original research articles, review articles, perspectives, and database/software articles related to object detection and image segmentation
and related methodologies, tools, and datasets.
Specific topics of interest include 2- and 3-dimensional-based:
-
Object detection, segmentation, tracking
-
Domain adaptation
-
Synthetic data generation
-
Unsupervised/self-supervised learning
-
Multiple scales (spatial, reflectance) data fusion
Guest Editors
Wei Guo, University of Tokyo, Japan
Ian Stavness, University of Saskatchewan, Canada
Etienne David, Hiphen, France
Wenli Zhang, Beijing University of Technology,
China
Yosuke Toda, Nagoya University, Japan
|
|
|
|
|
Plant Phenomics: Technologies in the Metaverse
for Ultra-precision Agriculture; Submission Deadline: December 31, 2023
Since the 1970s, we have been living in the era of the internet. That quickly shifted to a mobile internet era in the 2000s. With about 60 percent of the global population
now being active internet users, the internet has almost 100 percent penetration into our everyday lives. Today, we are at the cusp of the next new internet generation, the era of the metaverse. Just as in many aspects of our lives, the concept of the metaverse
has the potential to have a deep impact on agriculture to make it ultra-precise, climate-smart, sustainable, productive, profitable, safe, and widely accessible.
With this motivation, we have been organizing the International Workshop Series on Machine Learning for Cyber-Agricultural Systems (MLCAS 2022&2023) as well as the
AI for Agriculture and Food Systems workshop (AIAFS 2023) as a part of the Association for the Advancement of Artificial Intelligence (AAAI 2023) conference. These events have been bringing together academic and industrial researchers and practitioners in
the fields of machine learning, data science, and engineering, plant sciences, and agriculture. In such a collaborative effort, the workshops intend to identify and discuss major technical challenges and recent results related to this broad area. We are exploring
the recent advances in building digital twins or virtual representations of plants, plots to fields using advances in sensing, computational approaches, machine learning, scientific principles, and domain knowledge. More broadly, we are also interested in
discussing the techniques for introducing the metaverse to agriculture, such as data transmissions and management, human-computer interaction, and relevant AI tools.
This special issue will publish selected papers from MLCAS 2022&2023 and AIAFS 2023 as well as direct contributions. Specific topics of interest will include (but are
not limited to): high-performance satellite imagery, proximal and remote sensing, IoT, 5G, cloud/edge computing, big data, cyber-Ag systems, AI, machine learning, computer vision, natural language processing, VR/AR/XR, Graphics and visualization, and Digital
Twin techniques, computational modeling and crop modeling – all in the context of agriculture.
This special issue welcomes perspectives, reviews, algorithms, methodologies, tools, and datasets papers.
Guest Editors
Wei Guo, Graduate School of Agriculture and Life
Sciences, University of Tokyo, Japan
Soumik Sarkar, Mechanical Engineering, Iowa State
University
Baskar Ganapathysubramanian, Mechanical Engineering,
Iowa State University
Asheesh K. Singh, Department of Agronomy, Iowa
State University
Arti Singh, Department of Agronomy, Iowa State
University
Masayuki Hirafuji, Graduate School of Agriculture
and Life Sciences, The University of Tokyo
Seishi Ninomiya, Graduate School of Agriculture
and Life Sciences, The University of Tokyo
|
|
|
|
|
Plants: Plant Phenomics for Precision ; Submission
Deadline: December 31, 2023
Plant phenomics has been heavily applied for plant breeding ever since its advent in the form of high throughput phenotyping using various methods. However, it has
huge potential for smart farm in both greenhouse and field, field managements, yield prediction, etc., which are in the precision agricultural category.
This Special Issue of Plants seeks to stimulate and collect studies in precision agriculture using phenomics.
Any topic or technology including high throughput phenotyping, field management, plant breeding, analysis methods, field heterogeneity, remote sensing, image analysis, vegetative index, or smart farm will be considered for publication as long as it is related
to precision agriculture combined with plant phenomics. Conceptualization for potential application using phenomics for precision agriculture will also be considered for publication.
Keywords
-
phenomics
-
precision agriculture
-
high throughput phenotyping
-
field management
-
plant breeding
-
analysis methods
-
field heterogeneity
-
remote sensing
-
image analysis
-
vegetative index
-
smart farm
|
|
|
|
|
Plant Phenomics: Affordable Phenotyping to Enable
Desirable Discoveries in Plant Research; Submission Deadline: November 30, 2024
Many plant research groups and exploratory studies have a restricted budget to work with. To enable research, exploration, and development that require plant phenotyping
but have limited resources, affordable solutions involving low-cost equipment and open analysis software are essential. In recent years, due to rapid advances in remote sensing, computer vision (CV), and artificial intelligence (AI) techniques, many cost-effective
phenotyping solutions have been introduced to plant research, ranging from in-field robots and unmanned aerial vehicles to lab-based imaging devices and openly accessible analytic toolkits. These advances provide affordable phenotyping and trait analysis a
great platform to connect methodological progresses with a wide coverage of applications in plant research, including gene discoveries, breeding and genetics, cultivation and agronomy, growing and crop production.
The main objective of this special issue is to present recent developments in affordable phenotyping and trait analysis that have or potentially could lead to valuable
biological discoveries in different areas of plant sciences, for either fundamental or applied purposes. We welcome submission of manuscripts in affordable acquisition systems (e.g. novel image and IoT sensors), interpretation methods and algorithms powered
by AI and CV techniques, big data management, metadata and ontologies, and low-cost do-it-yourself (DIY) devices, which can be deployed either indoor or in the field, with varied temporal frequencies and at different scales.
Articles must be original research, not published elsewhere. All articles will go through a rigorous peer-review process as per the journal norms. Review articles around
the above topics are also encouraged.
Guest Editors
Ji Zhou, Cambridge Crop Research NIAB, UK; Nanjing
Agricultural University, China
David Rousseau, INRAe Angers, Université d’Angers, France
Mark Mueller-Linow, Jülich Plant Phenotyping Center (JPPC), Forschungszentrum Juelich, Germany
Vinicius Lube, Netherlands Plant Eco-phenotyping Centre (NPEC), Utrecht University, Netherlands
Sebastian Eves-van den Akker, University of Cambridge, UK
|
|
|
de Brito, G. G.; Campos, A. D.; de Melo, C. L. P.; Bertagnoli, P. F.; Klumb, E. K.; da Silva Porto, F. G.; et al.. (2023) Integrating
Non-photochemical Quenching (NPQ) Measurements for Identifying Flood-Tolerant Soybean Genotypes in the Era of Climate Change; Journal of Agricultural Science; Vol. 15, p. 39 – 57, No. 10; 2023.
DOI:10.5539/jas.v15n10p39
Dinh, L.T., Ueda, Y., Gonzalez, D. et al. (2023)
Novel QTL for Lateral Root Density and Length Improve Phosphorus Uptake in Rice (Oryza sativa L.). Rice 16,
37 (2023).
https://doi.org/10.1186/s12284-023-00654-z
Ezhilmathi Angela Joseph Fernando, Michael Selvaraj, Kioumars Ghamkhar (2023) The power of phenomics: Improving genebank value and utility, Molecular Plant, Volume 16, Issue 7, Pages 1099-1101,
ISSN 1674-2052,
https://doi.org/10.1016/j.molp.2023.05.011.
M. I. Gocke, J. Guigue, S. L. Bauke, D. Barkusky, M. Baumecker, A. E. Berns, E. Hobley, B. Honermeier, et. al. (2023) Interactive effects of agricultural management on soil organic carbon accrual: A synthesis
of long-term field experiments in Germany Geoderma, vol. 438, p. 116616, 2023.
doi:https://doi.org/10.1016/j.geoderma.2023.116616
Sofia Hadir, Thomas F. Döring, Eric Justes et al. (2023) Root growth and belowground interactions in spring wheat - faba bean intercrops, 16 August 2023, PREPRINT (Version 1) available at
Research Square
https://doi.org/10.21203/rs.3.rs-3164021/v1
I. M. Hernández-Ochoa, T. Gaiser, H. Hüging, and F. Ewert, (2023) Yield components and yield quality of old and modern wheat cultivars as affected by cultivar release date, N fertilization and environment
in Germany,” Field Crops Research, vol. 302, p. 109094, .
doi:https://doi.org/10.1016/j.fcr.2023.109094
Lärm, L., Bauer, F.M., Hermes, N. et al. (2023)
Multi-year belowground data of minirhizotron facilities in Selhausen. Sci Data 10,
672 (2023).
https://doi.org/10.1038/s41597-023-02570-9
Lagergren, J., Pavicic, M., Chhetri, H. B., York, L. M., Hyatt, P. D., Kainer, D., Rutter, E. M., Flores, K., Bailey-Bale, J., Klein, M., Taylor, G., Jacobson, D., Streich, J. (2023).
Few-shot learning enables population-scale analysis of leaf traits in
Populus trichocarpa.
Plant Phenomics
5. 0072. DOI: 10.34133/plantphenomics.0072
Liu C, Mentzelopoulou A, Papagavriil F, Ramachandran P, Perraki A, et al. (2023) SEC14-like condensate phase transitions at plasma membranes regulate root growth in Arabidopsis. PLOS Biology
21(9): e3002305. https://doi.org/10.1371/journal.pbio.3002305
S. Paulus and B. Leiding (2023) Can Distributed Ledgers Help to Overcome the Need of Labeled Data for Agricultural Machine Learning Tasks? Plant Phenomics, vol. 5, 2023.
doi:10.34133/plantphenomics.0070
Rajonandraina T, Ueda Y, Wissuwa M, Kirk GJD, Rakotoson T, Manwaring H, Andriamananjara A and Razafimbelo T (2023)
Magnesium supply alleviates iron toxicity-induced leaf bronzing in rice through exclusion and tissue-tolerance mechanisms. Front. Plant
Sci. 14:1213456.
doi: 10.3389/fpls.2023.1213456
M. H. ur Rahman, H. E. Ahrends, A. Raza, and T. Gaiser, (2023) Current approaches for modeling ecosystem services and biodiversity in agroforestry systems: Challenges and ways forward,”
Frontiers in Forests and Global Change, vol. 5.
doi:10.3389/ffgc.2022.1032442
T. Selzner, J. Horn, M. Landl, A. Pohlmeier, D. Helmrich, K. Huber, J. Vanderborght, H. Vereecken, S. Behnke, and A. Schnepf, (2023) 3D U-Net Segmentation Improves Root System Reconstruction from 3D MRI
Images in Automated and Manual Virtual Reality Work Flows, Plant Phenomics, vol. 5, p. 76, 2023.
doi:10.34133/plantphenomics.0076
Tazifor Tchantcho M, Zimmermann E, Huisman JA, Dick M, Mester A, van Waasen S. (2023) Low-Pass Filters for a Temperature Drift Correction Method for Electromagnetic Induction Systems. Sensors.
2023; 23(17):7322.
https://doi.org/10.3390/s23177322
Wallach, D., Palosuo, T., Thorburn, P. et al. (2023)
Proposal and extensive test of a calibration protocol for crop phenology models. Agron. Sustain. Dev. 43,
46 .
https://doi.org/10.1007/s13593-023-00900-0
Xie P, Du R, Ma Z, Cen H. (2023) Generating 3D Multispectral Point Clouds of Plants with Fusion of Snapshot Spectral and RGB-D Images. Plant Phenomics 2023;5:Article 0040.
https://doi.org/10.34133/plantphenomics.0040
|
|
|
|
PLANT
PHENOTYPING
JOBS
(A full & frequently updated list of vacancies can be found
here)
|
|
|
|
Open Positions
Postgraduate
Research Associate, BOKU, Vienna, AUT
Research Assistant – Remote Sensing / Digital Agriculture, Agriculture and Agri-Food Canada,
CAN
Service Engineer,
Phenospex, USA
Service Engineer,
Phenospex, NL
Spatial
Data Engineer - Australian Plant Phenomics Facility (APPF), AUS
Data
Librarian -Australian Plant Phenomics Facility (APPF), AUS
Project
Manager - Australian Plant Phenomics Facility (APPF), AUS
Software
Engineer - Australian Plant Phenomics Facility (APPF), AUS
Senior
Software Engineer - Australian Plant Phenomics Facility (APPF), AUS
Technology
and Development Lead, APPF, Adelaide, AUS
Project
Manager Remote Sensing, Vito, BEL
Postdoctoral Positions
Post-Doctoral
position: Close range sensing and Artificial intelligence for orchard phenotyping, INRAe, FR
3 Postdoc positions
in root phenomics, University of Arizona, USA
Postdoc
& research coordinator of crop phenotyping experiments in the framework of EMPHASIS, ETH Zurich, CHE
Post-doc
position, High-throughput plant phenotyping using UAV multi-sensor data, UW-Madison, USA
Post-doc
position, machine learning models with satellite remote sensing data, UW-Madison, USA
Post-doc
position for the development of smart sensors and imagers for plant phenotyping, Zhejiang University, PRC
Post-doc
position in Precision Agriculture Lab, Washington State University, USA
PhD Positions
10
fully-funded PhD positions in the MSCA Doctoral Network "ROOTED"
PhD
Position at the intersection of Agriculture and Computer Sciences, ETH Zuerich, CHE
PhD
- machine learning/deep learning, remote sensing, precision agriculture and UAVs, UW-Madison, USA
|
|
|
|
|
|
|
|
