Regenerative Agriculture is an approach to farm and ranch management that aims to reverse climate change through practices that restore degraded soils. The Center for Regenerative Agriculture offers soil testing and regenerative practice education services for farmers for a fee. This project is to create and implement a data pipeline and processing system for soil samples coming into the soil lab.
The RAD Lab team is heading to Blythe to visit a farm and take samples. They would like to have the farmer complete an intake form to collect background information such as type of farm, location etc to build a profile of that client. Then once the samples are taken from the site, they need to be asset tagged, entered into some sort of tracking system, scientifically processed to produce data, which needs to be wrangled into a client facing report.
Create a data science solution to streamline lab activities, increase staff efficacy by automating data processing and report generation.
You are starting from essentially scratch here. Your approach should be to spend a fair amount of time planning and communicating directly with the client to understand the needs and what they have already. You will do a lot of writing and decision making on best way to collect & process data before you get to any type of coding stage where you can start implementing and building the pipeline.
Details regarding deliverables to be added by DSST
Prototypes for the 3 options for the intake form.
Have Prototypes ready to present to the AG team # Domain Learning
Weekly updates done by DSST via PR
Intake form client relationship form (Website )
1a. What fields do we want on this form ?
1b. Data processing pipeline, produces file, get that file into a presentable format.
Develop data from that intake form, How to store? Where to access?
Have all types of data types that will need to be tracked on the back-end.
Databases set around a specific ID, where we can track everything back to this ID.
Frontend, what categories do we need to collect that allows us to analyze efficiency?
Cost estimates based on a few fields, then after then we can send them the true intake form.
Work on raw data example, figure out how to clean and organize for more efficient.
Schedule lab visit and get idea for the intake form.
Implement data an tie into a modeling package, with slight tweaking.
Met with members of the RAD lab to focus in on the specifics of our job.
Main objectives -
Began to develop working protoypes of the intake form to present to the AG representatives. Waiting on ITSS approval for Shiney App.
Google Form -
From 04/05/2022 * Building out django’s back-end abstraction for the intake form * Creating a frontend form for intake form
04/12/2022 * Make intake form front end cleaner * Start on internal tracking form
R Shiney / Box -