Mason Earles

210 posts

Mason Earles

Mason Earles

@MasonEarles

Plants, AI, and biophysics | Assistant Prof UC Davis | Co-Lead AIFS | CTO and Co-Founder Scout | ex Apple | Views/opinions my own. he/him

Katılım Ocak 2017
675 Takip Edilen689 Takipçiler
Mason Earles
Mason Earles@MasonEarles·
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.
AI Institute for Next Generation Food Systems@ai_nextgenfood

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/hearings/innov…

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Mason Earles retweetledi
AI Institute for Next Generation Food Systems
AI Institute for Next Generation Food Systems@ai_nextgenfood·
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.
AI Institute for Next Generation Food Systems@ai_nextgenfood

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-Ceremon…

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Mason Earles
Mason Earles@MasonEarles·
@ReidWeb @quocleix I’ve been using ChatGPT-4 for this with impressive results (requiring that I provide some bug feedback loops). Have you compared this between the two?
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Guy Coleman
Guy Coleman@GeezaColeman·
Introducing the web-based Coverage Mapping Tool! A colour-based method for calculating % coverage of two-classes in images. 1. Go to: …on-streamlit-app-wn203j.streamlit.app 2. Upload images 3. Set thresholds 4. Check images 5. Save stats/download CSV. Built with ChatGPT/streamlit.
Guy Coleman@GeezaColeman

As someone who has never used tkinter before, #ChatGPT let me build a basic Python 'app' for a niche problem in about 3 hours. It makes lots of errors, but the efficiency gained is huge. Full code to use this (for any sort of colour-based analysis): github.com/geezacoleman/G…

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Mason Earles
Mason Earles@MasonEarles·
@GeezaColeman Nice! I’d highly recommend StreamLit if you’re up for a browser based app!
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Guy Coleman
Guy Coleman@GeezaColeman·
As someone who has never used tkinter before, #ChatGPT let me build a basic Python 'app' for a niche problem in about 3 hours. It makes lots of errors, but the efficiency gained is huge. Full code to use this (for any sort of colour-based analysis): github.com/geezacoleman/G…
John Stevenson@cropmad

Can anyone point me in the direction of software which can differentiate colours into percentages. Looking to calculate losses from Gilgai’s @jakeonfarm

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GROW.IWM
GROW.IWM@GetRidOfWeeds·
Why do we need a National Ag Image Repository? Read & listen as @mattkutu explains how the repository is built and how it can open doors to more affordable and accessible “smart” precision ag tools for farmers in the future. @PSA_Network growiwm.org/how-a-national…
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Luis Diaz-Garcia
Luis Diaz-Garcia@errantenoir·
Excited to announce that I have just joined the Department of Viticulture and Enology at UC Davis as an assistant professor and grape breeder. 🧵
Luis Diaz-Garcia tweet media
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Mason Earles
Mason Earles@MasonEarles·
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
Mason Earles tweet media
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Mason Earles
Mason Earles@MasonEarles·
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
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Keşfet

@verge @amogh7joshi @PPhenomics @USDA_NIFA @ReidWeb @quocleix @GeezaColeman @GetRidOfWeeds