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: https://t.co/JBPiHe42hq
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:
https://t.co/wGepdzNIs8
#NIFAImpacts#sustainable#FoodSystems#AgTech#AI#farm
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.
@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?
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 https://t.co/UK7085o9Q3 for more info. @ucanr, @ai_nextgenfood, @farm_ng_inc
Excited to share AIFS faculty @MasonEarles, @jiyoon__yi, and others' latest publication on bacteria detection using AI and Optical Imaging. #bacteria#AI#biomedical https://t.co/DZ0XaV7q0J
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
https://t.co/FawkZ9LLhR
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.
https://t.co/3nY9ztp6Iq
https://t.co/t4BqAZZpfA
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 👩🏾💻🧑🏻💻🧑🏼💻👩🏿💻🏳️🌈 [email protected]