Coding smart solutions for off-grid farming
Explore my latest tutorials and development logs as I build practical, AI-driven applications for modern off-grid farming.
Want to support the Agri-Tech project? You can now purchase our fresh, off-grid organic produce and free-range eggs directly from our digital farm stand!
Shop the HarvestWhy I build the PHP backend and test with fake data before buying expensive farm hardware.
Designing a durable IoT solution for harsh agricultural environments.
How I determined the exact power requirements for a fully autonomous farm sensor.
Our custom-coded marketplace is live! Order fresh organic produce and free-range eggs directly from the farm.
Building a monitoring app that automatically texts you when environmental conditions in the farm are beyond safe thresholds.
Coding an offline-first architecture for agricultural mobile apps.
Using hardware automation to stream real-time vegetable garden data.
Using Python to calculate accurate LiFePO4 State of Charge (SoC).
Building a backend ledger to track farm inventory and net profits.
Building a PHP/MySQL application to track daily pH, ammonia, and temperature readings to prevent oxygen crashes.
Using PHP and MySQL to build a digital ledger for planting dates, fertilizer schedules, and harvest weights.
Using a programmable timer relay and a small solar panel to automate daily feeding chores completely off-grid.
Using face-api.js and web technologies to build an automated time-tracking and wage calculation system.
Calculating the battery and panel requirements to run an 18W (220V) pond aerator completely off-grid.
Calculating power needs and sizing battery banks to keep an off-grid poultry incubator running 24/7.
Ditching custom models for Azure OpenAI and Supabase Edge Functions.
Using localStorage to track scan limits without relying on a cloud database.
Optimizing software algorithms to conserve device battery on solar-powered farms.
Programming phase-feeding profiles and biological limits for livestock and poultry.
Using Leaflet.js and local caching to visualize agricultural threats without breaking the bank on cloud reads.