Should the app look up frost dates automatically from a location?

It can offer a starting estimate, but let the gardener confirm or override it. Published frost dates are averages, and microclimates differ street to street. An editable date the gardener trusts is more useful than an automatic one they do not.

How detailed should the crop library be?

Start with about thirty common crops and the handful of numbers that drive the calendar: timing relative to frost, days to harvest, and plant family for rotation. Let users add their own varieties. A huge library with unverified numbers produces wrong reminders.

How to Build a Vegetable Garden Planner App with AI

What a vegetable garden planner app needs

Set a last and first frost date once; every crop schedule is calculated from it
Beds with a simple grid of planted crops
Sowing calendar: sow indoors, transplant, direct sow, expected harvest
Harvest log with weight or count per crop
Crop rotation warning when the same family returns to a bed

The screens

Screen	What it does
This Week	Tasks due now: sow, transplant, harvest, with the crop and bed
Beds	Each bed as a grid showing what is planted and when
Crop Detail	Variety notes, schedule relative to frost date, spacing
Harvest Log	Log a harvest and see season totals per crop
Settings	Frost dates, units, and crop library edits

The data model

Garden: name, lastFrostDate, firstFrostDate, units
Bed: gardenId, name, widthCells, lengthCells
Crop: name, family, sowIndoorsWeeksBeforeFrost, transplantWeeksAfterFrost, directSowWeeksAfterFrost, daysToHarvest
Planting: bedId, cropId, variety, cells, plantedOn, season
Harvest: plantingId, harvestedOn, amount, unit

The build prompt (copy this)

Paste this into ShipNative and it becomes a working React Native app with these screens, navigable in a live preview, in about two minutes:

“A vegetable garden planner for a home gardener. Settings stores the last spring frost date and first autumn frost date for the garden, entered by the user. The app ships with a crop library of about thirty common vegetables, each with its plant family and its timing expressed relative to the last frost date — weeks before frost to sow indoors, weeks after frost to transplant or direct sow, and days to harvest — and every value is editable because local conditions vary. This Week shows the tasks due in the next seven days calculated from those dates: sow tomatoes indoors, transplant lettuce into Bed 2, expected harvest of radishes. Beds shows each raised bed as a small grid; tap cells to assign a crop and variety, which creates a planting for this season. If a planting puts a crop in a bed that held the same plant family last season, show a gentle crop rotation warning. Crop Detail shows the schedule, spacing notes, and past plantings. Harvest Log records the date and weight or count, and shows totals per crop for the season. Works offline. Screens: This Week, Beds, Crop Detail, Harvest Log, Settings.”

Then iterate with small, screen-specific prompts (“make the primary button bigger”, “add an empty state”), preview on your own phone, and export the full Expo project whenever you want. The full method: how to build an app with AI.

How it makes money

Gardening apps monetize with a seasonal subscription or a one-time purchase; the audience is loyal and returns every spring. Free covers one garden and the basic crop library; paid adds unlimited beds, multi-year rotation history, and reminders. Keep expectations honest — it is a steady niche, not a hit, and most revenue arrives between February and May.

Implementation and the revenue math for every model: how to make money from an app. When you’re ready to ship: App Store and Google Play publishing guides.

Build it now

The prompt above is free to run at shipnative.dev — working vegetable garden planner app on your phone today, full code export, no credit card.