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🍓 Agentic Strawberry Tower ## TL;DR - **What:** Build a fully autonomous strawberry-growing system — a single aeroponic tower paired with a 6-DOF robot arm that uses 3D depth vision to detect, evaluate, and harvest ripe berries on its own. - **Why FoodNouns:** Food sovereignty is a CC0 problem. We're documenting and open-sourcing every part of the build — code, hardware list, training data, and a CC0 video — so anyone, anywhere can replicate it. - **Deliverables:** Open-source codebase (MIT), full build documentation, CC0 video documentation of the system from seed to harvest, and a public dataset of strawberry ripeness imagery. - **Ask:** ~$4,000 USD (paid in ETH) for hardware. Builder time is donated. - **Timeline:** 6 months from funding to first autonomous harvest, with documentation released as we go. --- ## The vision A strawberry costs about $0.50 at the grocery store and travels an average of 1,500 miles to get to you. The plant that grew it never knew you existed. The person who picked it was probably underpaid. What if a strawberry plant lived in your kitchen, and a small robot harvested berries for you the moment they were ripe? This proposal funds the smallest possible working version of that future, and gives away every piece of it under open licenses so the next person doesn't have to start from scratch. ## What gets built A single self-contained unit comprising: - **Aeroponic growing tower** — ~30-plant capacity, vertical, soilless. Tower farming uses ~95% less water than soil and grows faster. - **Yahboom DOFBOT-Pro robotic arm** with NVIDIA Jetson Orin NX Super (16GB, 157 TOPS) onboard compute and an Orbbec 3D depth camera on the end effector. This is the same class of hardware used in industrial agritech — running on a desktop, for under $2k. - **Vision + control stack** — ripeness detection model (custom-trained on the in-house dataset we'll generate), 3D localization via depth camera, and motion planning through MoveIt. - **Scissor-and-catch end effector** — a custom replacement for the stock gripper that snips the stem (the way human pickers actually do it) and drops the berry into a small funnel-and-basket assembly mounted under the cut zone. No bruising, no squeeze pressure, no failure-prone soft grip. - **Grow environment** — full-spectrum LED lighting on a timer, nutrient reservoir with pH/EC monitoring, ambient camera for time-lapse and remote check-ins. - **A public log** of the entire build, every failure, every iteration. ## Why this matters for FoodNouns The bottleneck on distributed urban food production isn't really "can we grow it" anymore. Vertical and aeroponic systems have been figured out. The harder question is whether the labor can be automated cheaply enough that a school, a building, a neighborhood, or a household can actually run one of these without a full-time gardener. The hardware to do that just became affordable in the last 18 months — and as far as I can tell, nobody has published a working CC0 recipe for putting it all together. Strawberries are a good starting fruit for this kind of pilot. They're valuable enough that automating the picking is worth doing, they bruise easily so the gripping problem is actually interesting, they ripen continuously which means the robot has ongoing real work, and they photograph beautifully — which matters when half the deliverable is video documentation. The whole stack is also genuinely replicable. Tower from Amazon. Robot arm from Amazon. Jetson from Amazon. No custom fabrication, no patented components, no proprietary anything. If this works, the bill of materials and the code repo are enough for someone else to build the same thing in their garage. That's the FoodNouns angle: not a one-off demo at one farm, but a recipe that travels. ## Deliverables By end of pilot: 1. **Working autonomous system** harvesting strawberries from a single tower at the proposer's workshop, documented on video. 2. **Open-source repository** (MIT-licensed) containing: - Ripeness detection model + weights - 3D localization and pick-planning code - Arm control / MoveIt configs - Grow environment monitoring scripts 3. **Build documentation** (CC0): bill of materials with links, assembly photos, wiring diagrams, lessons learned, things that broke and how we fixed them. 4. **Public ripeness dataset** (CC0): annotated images of strawberries at various ripeness stages from the tower, usable by anyone training their own model. 5. **CC0 video documentation**: a polished short film of the system from seed to harvest, plus the raw footage and time-lapse archive, all public domain. ## Budget | Item | Estimated Cost | |---|---| | Yahboom DOFBOT-Pro (Orin NX Super 16GB, depth cam, display, voice module) | $1,880 | | Aeroponic tower (~30 sites) + reservoir + pump | $400 | | Strawberry starts (~30 everbearing plants) | $150 | | Nutrients, pH/EC meters, reservoir supplies | $200 | | Full-spectrum LED grow lights + timer | $350 | | Scissor end effector (servo, blades, 3D-printed mounts) + catch basket + funnel | $200 | | Arm mounting frame + tower positioning rig | $200 | | Cabling, networking, USB hub, spare SSD | $150 | | Time-lapse/documentation camera | $200 | | Contingency (10%) | $270 | | **Total** | **~$4,000** | Builder labor (design, build, model training, software, documentation, video production) is donated. Any overage beyond $4,000 is covered personally by the proposer — the DAO is only on the hook for the requested amount. ## Timeline | Month | Milestone | |---|---| | 1 | Hardware ordered + received. Aeroponic tower assembled and running with first strawberry starts. | | 2 | Robot arm assembled and calibrated. Initial dataset collection begins (manual photos of berries at all ripeness stages). | | 3 | First ripeness detection model trained and deployed on-device. 3D localization working from depth cam. | | 4 | First end-to-end autonomous pick (likely clumsy). Iteration on grip + planning. First plants producing ripe fruit on tower. | | 5 | Reliable autonomous harvest cycle. Time-lapse documentation in progress. Public dataset and code repo go live. | | 6 | Final CC0 video published. Full build documentation released. Final report to FoodNouns DAO. | All code and documentation is released **as it's developed**, not held until the end. The repo goes public at month 1. ## Who's building this Ian Schwartz, founder of City Farmers and operator of Wylie Advisory. Day-to-day work involves systems thinking across nonprofit consulting, urban farming infrastructure, and privately hosted AI systems for mission-driven organizations. This pilot lives at the intersection of all of that. The equipment lives at the proposer's workshop after the pilot concludes and continues to be used for ongoing development, with all future improvements likewise open-sourced. ## Risks and how we're handling them The most likely failure mode is the end effector itself. The plan is to replace the stock gripper with a scissor mechanism that snips the stem — the way human pickers actually do it — and a small funnel-and-basket assembly mounted directly below the cut zone to catch the berry as it falls. This sidesteps the soft-grip bruising problem entirely. The engineering question becomes "can we reliably locate the stem and cut it cleanly," which is a much more tractable problem than "can we gently squeeze ripe fruit without damaging it." If the first scissor design doesn't work, iteration is cheap — we're talking about a 3D-printable swap-out part, not redesigning the arm. Indoor strawberry growing is the second risk. Everbearing varieties under good lights generally fruit reliably, but if the first grow cycle underperforms we may need to extend by a month or two to get to autonomous harvest. The software and build work doesn't depend on the plants cooperating, so that work proceeds in parallel either way. Timeline slip in general is the third risk and the honest answer is: the deliverables are released as they're built, not bundled at the end. If the final video slips two months, the code, the dataset, and the build docs are already public. The DAO is never waiting on a single end-of-project handoff.
@0xf84a...b5A8 actually super efficient https://x.com/aimss_/status/1921694873020698954?s=46&t=TTJUYkWayfJyupWeu6G4bw > > > I hope they come in efficient packaging. 500 units are a lot. >
# 404 Our blockchain potluck has achieved quantum decentralization (we ceased to exist and exist simultaneously). https://media.giphy.com/media/v1.Y2lkPTc5MGI3NjExd2s0eTVnc2IyZW95aXhrcDE4ajkzYmdxNmkwMjdmaWNiZDJvMjhueiZlcD12MV9naWZzX3NlYXJjaCZjdD1n/LavaqctMFvQlsPSjjd/giphy.gif
love this prop. big fan of IRL activations got to play kendama with Satori at ETHDenver. it’s wild how a simple toy can quickly bring people together and spark joy in them, make games and competition happen on the spot love the Foundation and think we need more of this type of work for young people. kendama can not only get kids off their ipads, it shows young people that doing difficult things and persevering through failure leads to reward and joy, something that is often lost in our contemporary age really hope to see this pass
seeing as the Verbs team was given 16 eth to cover taxes for their Nouns, and then this was decided by large voters to not be the case for future Noun gifts, (including cancelling Bob Burnquist’s proposal in order to remove the eth portion,) the concerns about setting a precedent with giving Amiyoko a Noun here don’t seem warranted. precedent is a pick and choose circumstance in Nouns, not a hard and fast rule
fly wylin💎 to basel&&<p>round trip flight on Spirit currently cost about $75</p><p><br></p><p>idk where i’m staying yet but if the flight is paid for, i’ll figure it out</p>
Explore hosting BitNouns smart contracts on an L2&&<p>ETH L1 gas costs are expensive, often prohibitively so </p><p><br></p><p>In order to further BitNouns mission of making Nouns onboarding more accessible and practically free, we should explore how to migrate our smart contracts to an L2 and reduce the gas costs associated with auctions, governance, and other DAO operations</p><p><br></p>