LAB LOGA page on LabLog, a review site (not the lab's official page)
Guo Lab (Field Phenomics Lab)
Machine-translated · View original
The lab measures everything from cells to canopies with imaging and AI, and brings the results to farms.
AboutAbout the lab
Bringing technology that measures entire fields to the farm.
The Guo Lab researches technologies that evaluate the growth and performance of living organisms, from the cellular level to the population level.
Using image pattern recognition, machine learning, and sensing technologies, the lab develops algorithms and applications that measure quickly and with high accuracy.
The lab is an endowed chair established in November 2021 with financial support from Sarabetsu Village in Hokkaido.
The lab also works to speed up the social implementation of these new technologies so that they are used in actual farming settings.
Key terms
- Phenotyping
- Measuring visible traits of plants, such as shape, size, and how well they are growing, in large quantities using machines
- IoT
- A system in which everyday devices are connected to the internet and exchange data (Internet of Things)
- Social implementation
- Turning technologies developed in research into a form that can be used in real-world settings, and spreading their use
NewsLab news
In a joint research project, potato yield was predicted before harvest using drones and AI
Developed a method to map the locations of floral resources from honeybee dances
Developed a 3D potato dataset together with a research group at Kubota Corporation
A book edited by Associate Professor Wei Guo was published by Springer
Developed a deep learning model that automatically detects and measures soybean seeds
ResearchResearch themes
In agricultural research and smart agriculture, the foundational technology is the methods for collecting, analyzing, and evaluating detailed data on the growth status and growing environment of crops in the field. The lab's three main research themes are plant phenotyping with image processing and machine learning, field sensing with IoT, robots, and drones, and agricultural big data.
*Illustrative imageMeasuring Plants with Images and AI
The lab develops algorithms and applications that use image pattern recognition and machine learning to evaluate the growth and performance of living organisms quickly and with high accuracy, from the cellular level to the population level.
*Illustrative imageMeasuring Fields with Drones and Robots
The lab works on field sensing, using IoT devices, robots, tractors, drones, and satellites to collect data on the growth status and growing environment of crops in the field.
*Illustrative imageAgricultural Big Data
The lab studies methods for analyzing and evaluating the large amounts of data collected from fields. It strengthens collaboration with local farmers, companies, government, and schools to advance the social implementation of its technologies in a way that stays close to the field.
MembersFaculty
The members of the Guo Lab include faculty, researchers, PhD, master's, and undergraduate students, research students, visiting students, and staff.As of 2026
- Associate ProfessorWei GuoPublications ↗
- Project ProfessorMasayuki HirafujiPublications ↗
- Professor EmeritusSeishi Ninomiya
- Project Assistant ProfessorBurridge James David
- Assistant ProfessorSiyao Chen
- Project Assistant ProfessorHaozhou Wang
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
Students who take part in an interview may receive a thank-you gift worth ¥1,000, regardless of what they say.
On a 4-point scale, ● marks where students' answers fall
Who is this lab for?
What's great about this lab?
What did you learn after joining?
What's the vibe, and what is the professor like?
Where do graduates go?
RelatedLabs similar to Guo Lab (Field Phenomics Lab)
Sugimoto Lab (Plant Metabolisms-Herbivore Interaction Laboratory)Faculty of Agriculture, Major in Landscape Ecology and PlanningChemical ecology, plant–herbivore interactions, secondary me…
Institute for Sustainable Agro-ecosystem ServicesFaculty of Agriculture, Major in Landscape Ecology and PlanningInvestigating the relationship between agriculture and ecosy…
Urban and Landscape Planning LabFaculty of Agriculture, Major in Landscape Ecology and PlanningEvaluation and analysis of cities and regions from a landsca…
Conservation Ecology LabFaculty of Agriculture, Major in Landscape Ecology and PlanningImpacts of human activities on ecosystems and biodiversity, …The information on this page is compiled by the LabLog team from the lab's public information and interviews. For corrections or removal requests, please contact LabLog, not the lab.
Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “Dülmen, Kirchspiel, Dernekamp, Getreidefeld” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- Measuring Plants with Images and AI: “Samples of object co-segmentation” Bikingdog / CC BY-SA 4.0 (cropped)
- Measuring Fields with Drones and Robots: “Dülmen, Merfeld, Felder” Dietmar Rabich / CC BY-SA 4.0 (cropped)
- Agricultural Big Data: “Daedelus comparison, remote sensing in precision farming” Susan Moran, Landsat 7 Science Team and USDA Agricultural Research Service (U.S. Government work) / Public domain (cropped)
- Related lab (杉本研究室
（植物－植食者相互作用研究室／Plant Metabolisms-Herbivore Interaction Laboratory） ): “Badamia exclamationis caterpillar eating Terminalia catappa leaf. Dededo, Guam” Halenhardy / CC0 (cropped) - Related lab (生態調和農学機構): “Midoricho, Nishitokyo, University of Tokyo Tanashi Campus 20250615” Mikagekawase / CC BY 4.0 (cropped)
- Related lab (都市・ランドスケープ計画研究室): “Shinjuku Gyoen National Garden and NTT DoCoMo Yoyogi Building, Tokyo, Japan” Basile Morin / CC BY-SA 4.0 (cropped)
- Related lab (保全生態学研究室): “Satoyama, utilize plant layer” Namazu-tron / CC BY-SA 3.0 (cropped)
About LabLog
LabLog is a lab review app for students only. Student members at each university interview students in labs and publish what they say. Student voices can only be read by students who sign up with a university email address. Operated by bestiee Inc.
Learn more about LabLog ↗Search engines and AI may reference the basic lab info and rating summaries on this page and the description of LabLog. Student voices are for student members only. Automated collection by programs (scraping, or input to or training of AI) is prohibited under Article 8 of the Terms of Service. If you need data for research or analysis, please contact us.