Independence AgTech Meetup Homepage
"In this challenge, we would like to leverage technology to create an automated solution for spot spraying weeds to increase the yield of a grass seed per acre. Assume it is a small grass farm with 6 fields and each one is 50 acres per field. Potential technical solutions could include artificial intelligence, machine learning, mixed reality, robotics, drones, etc."
- PyTorch https://pytorch.org
- PyTorch Tutorial: Torchvision Object Detection Finetuning Tutorial
- PyTorch Tutorial: Transfer Learning for Computer Vision Tutorial
- Portland PyTorch Meetup: https://www.meetup.com/Portland-PyTorch-Meetup/
"In this challenge, we would like to leverage technology to create a data hub that can scale to host all Oregon crops information, run analytics on top of the data for trend spotting, etc. and determine a way to compensate growers for sharing data. Potential technical solutions include big data tools such as Hadoop or MongoDB, machine learning, big data analytics tools such as Tableau, etc."
- MongoDB QuickStart with Python (Free 2 Hr Course) https://freemongodbcourse.com/
- Oregon Secretary of State https://sos.oregon.gov/Pages/index.aspx
- Trio: a friendly Python library for async concurrency and I/O (for datamining) https://trio.readthedocs.io/en/stable/
"In this challenge, we would like to see workflow and process automation developed to lessen the time it takes for this approval process to occur and minimize mistakes. Additionally, there is an opportunity to develop a system where a grower/producer can input the data once and share it in an authenticated way to various agencies. Potential technical solutions could include distributed ledger technology such as blockchain, business process management, workflow management solutions, etc."
- lopp.net Bitcoin Information & Resources
- Oregon Department of Agriculture https://www.oregon.gov/ODA/Pages/default.aspx
"In this challenge, we would like to see goggles developed that could be worn by a crew on the conveyor line to more accurately remove rotten or unripened fruit. Potential technical solutions include hardware and software with advanced algorithms incorporated to select the best fruit, more accurately drop fruit from the vines in the field rather than harvest, etc"
- Brix https://en.wikipedia.org/wiki/Brix
- Adafruit IO Environmental Monitor for Feather or Raspberry Pi https://learn.adafruit.com/adafruit-io-air-quality-monitor?view=all
"In this challenge, we would like to see the development of an application that allows consumers to interact directly with growers to learn about farming practices, ask questions about crops with which they are not familiar and engage directly to ask questions in the event of a foodborne illness. Potential solutions include a custom developed portal, two way marketplace, social engagement platform, etc.
- Cookiecutter: Better Project Templates https://cookiecutter.readthedocs.io/en/1.7.0/
- Using and Mastering Cookiecutter https://training.talkpython.fm/courses/explore_cookiecutter_course/using-and-mastering-cookiecutter-templates-for-project-creation (friend's with Michael -- could talk him into donating course for sprint)