Plants, AI, and biophysics | Assistant Prof UC Davis | Co-Lead AIFS | CTO and Co-Founder Scout | ex Apple | Views/opinions my own. he/him
Joined January 2017
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Yesterday we discussed the opportunities and risks of AI for the American food system with the Senate. TLDR: More federal funding needed from R&D through tech transfer thru business innovation thru farmer protection.
On Tuesday, Nov 14, AIFS Co-PI @MasonEarles provided testimony to the Senate Committee on Agriculture, Nutrition, and Forestry at a hearing regarding leveraging AI tech in American Agriculture.
Check out the full hearing recording to watch his testimony: agriculture.senate.gov/heari…
Mason Earles retweeted
Check out @verge's article, “Is AI the Answer to Sustainable Farming?” featuring AIFS Director Ilias Tagkopoulos, delving into the possibilities and challenges of implementing AI in Ag systems:
theverge.com/2023/11/14/2395…
#NIFAImpacts #sustainable #FoodSystems #AgTech #AI #farm
Mason Earles retweeted
#inPress
Standardizing and Centralizing Datasets for Efficient Training of Agricultural Deep Learning Models
🔗spj.science.org/doi/abs/10.3…
@MasonEarles
#plantphenomics #phenomics #plantphenotyping #deeplearning
Mason Earles retweeted
There’s still time to register for tomorrow’s virtual #FarmRoboticsChallenge awards ceremony! Check out the link below for more info about this event, which will showcase the outstanding ag robotics projects of student teams from 12 schools across the country.
Join us in saluting the students of @HartnellCollege, @UCDavisCOE, @UCRiverside, @ucsantabarbara, @byu, @Fresno_State, @ucsc, @CalPoly, @carnegiemellon, @ucmerced, @UNLincoln, & @lifeatpurdue for their innovative #FarmRoboticsChallenge team projects. farmbot.ai/Awards-Ceremony/
ALT Farm Robotics Challenge Virtual Awards Ceremony Graphics highlighting the event information (happening Saturday June 3, 2023 from 2:00-3?45 pm Pacific Time, and showing the names of the 19 teams representing 12 colleges and universities across the United States.
Mason Earles retweeted
Announcing all twelve research projects for year 3 at AIFS! #AIFood #AgTech #FoodSystems #NIFAImpacts #DataSets #AITrust @USDA_NIFA - mailchi.mp/ucdavis/aifs-year…
Mason Earles retweeted
The #FarmRoboticsChallenge has begun! Over the next 3 months, students from top colleges nationwide will compete to create #agtech solutions to improve efficiency on small to mid-sized farms. Visit farmbot.ai for more info. @ucanr, @ai_nextgenfood, @farm_ng_inc
Mason Earles retweeted
Apps for Food and Ag Hackathon happening now! Day one taking place at UC Davis! Focusing on #FoodSystems #AI #supplychain #ClimateSustainability aifs.ucdavis.edu/hackathon20…
Mason Earles retweeted
Excited to share AIFS faculty @MasonEarles, @jiyoon__yi, and others' latest publication on bacteria detection using AI and Optical Imaging. #bacteria #AI #biomedical journals.asm.org/doi/full/10…
ALT Microcolony incubation & imaging > Real-time object detection by YOLO
Mason Earles retweeted
Looking to empower youth to explore careers in #agtech, the @VINE_io partnered with @ai_nextgenfood to sponsor the Farm Robotics Challenge. College students are invited to develop a #robot that makes #farm work more accessible. #agtwitter
📸: farm-ng
bit.ly/3NZsdoq
ALT The farm-ng robot provides the base for teams to add functions. Photos courtesy of farm-ng
ALT Steve Fennimore, UC Cooperative Extension weed management specialist, and Gabe Youtsey, chief innovation officer, test drive a farm-ng robot in the expo area of FIRA USA.
ALT The farm-ng robot provides the base for teams to add functions. Photos courtesy of farm-ng
Establishing benchmarks and pre-trained models for 20+ ag computer vision datasets! We deep dive into fine-tuning across fruit types, focused on how to efficiently train models for new fruit types/environments. All data up on AgML.
arxiv.org/abs/2208.02707
github.com/Project-AgML
Our lab is looking for two postdocs at @ucdavis: 1) AI-enabled sensing in production strawberry and 2) Developing an open-source library for agricultural machine learning! We’re seeking candidates of all backgrounds and experiences to apply 👩🏾💻🧑🏻💻🧑🏼💻👩🏿💻🏳️🌈 jmearles@ucdavis.edu
We’ve added more datasets to AgML! Plus we have some fresh documentation that easily allows users to take a peak at each dataset. Also, we’re still looking for a postdoc with Python chops to lead library development. Please get in touch! github.com/Project-AgML
Mason Earles retweeted
The @ai_nextgenfood, @ucdavis is looking for two software engineers. Join a team that is working to advance #ai in the food system. Front-End Software
Engineer lnkd.in/g4uDYqj6
Back-End Software Engineer: lnkd.in/giXuk2sf
lnkd.in/g33fBn2W
Mason Earles retweeted
Join us for this exciting talk tomorrow! Register at bit.ly/3qKvFc7
Come learn about discovery-enabled biodesign through exploration of our planet's biodiversity with Oliver Vince, Co-Founder of Basecamp Research on Thursday (3/31) at 11 am PDT. #SpringSpeakerSeries
Register➡️bit.ly/3qKvFc7
#biodiversity #biodesign #biotech #aifs
ALT Speaker series promotion. Upper left corner has the AIFS logo and words "Spring Speaker Series". Displayed on the flyer is the text: March 31 2022 Basecamp Research: Discovery-enabled bio design through exploration of our planet's biodiversity 11:00 AM PDT on Zoom There is a headshot photo displayed next to the text of Oliver Vince, Co-Founder of Basecamp Research
Mason Earles retweeted
Looking forward to the next 3 days of presentations from experts across many fields around the world. The goal of #DIGICROP2022 is to promote international and interdisciplinary scientific discourse and intellectual exchange on digital technologies for sustainable crop production
#DIGICROP2022 starts NOW! Tune in for 68 talks and keynotes over the course of the next three days:
digicrop.de/
Starting today with keynotes by James Schnable @szintri & Ranveer Chandra @RanveerChandra
As an @ai_nextgenfood funded project, we need a postdoc to help lead github.com/Project-AgML software, API, and ML dev. AgML is next gen software with @PyTorch and @TensorFlow ready datasets, pretrained models, benchmarks, pipelines, and metrics for ag. DM me if interested!