Operations

Based on Aquaponic Greenhouse prototype
7' Towers with 22 plants each
44 tower base model
Shelves on walls
Ponds with Tilapia for fertilizer
800 still base module, scalable to multiples
Rain catchment for water provision and avoidance of water costs
Deepot automated planting with Seedbot
Entire structure is 3D printable with the OSE Terrabot including ponds, glazing, shelves, towers, plumbing, pumps

Ergonomics and Possible Economic Model

Seeding - 5 minutes for 10,000 plants as time to deposit seeds n trays for Seedbot
Planting - 100-plant trays take 5 minutes to place in holes
Harvest - plants are delivered on trays, with pots, and customer empties pots. Harvest is 5 minutes for 100, 25 minutes for 500 biweekly plants
Cleaning - Trays are pressure washed via another Universal Axis Bot with Plastic Rods. Or by hand in 10 minutes on wash table with ozonated water
Soil fill table - single 100-trays in 5 minutes
Delivery time - 2 hours for 20 clients. Every 2 week delivery. Plants keep growing as they are alive. 25 plant tray is delivered, and old one is picked up, with $5 tray deposit
Total time - 5 hr 40 min per month time requirement
$160/hr revenue with 1000 plants sold per month at $1/plant. This does not account for trays.

Proof of above ergonomics results in a robust enterprise model - even if proven at 1/20 the productivity, it results in a $320k/year enterprise if done full time by one person, so it is worth exploring.
Delivery: delivery of model suggested through a 24 person cohort in 4 years of the OSE Apprenticeship. Even at a base 'unproductive' state it has a high chance of succeeding.

Needs Seedbot, production ergonomics proven
Needs lage 3D printer for startup. Needs plastic recycling
$300k should do it, crowd-funded by entrepreneurial stakeholders in an incentive challenge

Aerial drone version of the same eliminates planting time, but since deepots need to be placed in towers, via Seedbot assistance, drones don't necessarily save time