Not a pitch deck.<\/p>\n\n\n\n
Not a theoretical \u201cstartup idea\u201d.<\/p>\n\n\n\n
An actual working vertical slice.<\/p>\n\n\n\n
And surprisingly, it now does something real:<\/p>\n\n\n\n
- \n
- stores field geometry<\/li>\n\n\n\n
- imports land parcels<\/li>\n\n\n\n
- pulls satellite vegetation signals<\/li>\n\n\n\n
- fetches weather data<\/li>\n\n\n\n
- calculates parcel risk scores<\/li>\n\n\n\n
- returns recommendations through an API<\/li>\n<\/ul>\n\n\n\n
It is still an MVP.<\/p>\n\n\n\n
But it is a real product slice.<\/p>\n\n\n\n
And that makes it worth unpacking.<\/p>\n\n\n\n
\n\n\n\nWhy Build an AgriTech SaaS at All?<\/h1>\n\n\n\n
Because agriculture sits at the intersection of several interesting forces:<\/p>\n\n\n\n
- \n
- climate pressure<\/li>\n\n\n\n
- food systems<\/li>\n\n\n\n
- geospatial data<\/li>\n\n\n\n
- finance and risk<\/li>\n\n\n\n
- increasingly accessible satellite infrastructure<\/li>\n<\/ul>\n\n\n\n
And because a lot of \u201cAgriTech\u201d products are either:<\/p>\n\n\n\n
- \n
- too hardware-heavy<\/li>\n\n\n\n
- too enterprise-heavy<\/li>\n\n\n\n
- or too vague<\/li>\n<\/ul>\n\n\n\n
I wanted to explore something software-native.<\/p>\n\n\n\n
A small digital asset.<\/p>\n\n\n\n
A possible micro SaaS.<\/p>\n\n\n\n
A geospatial product with a path to becoming more.<\/p>\n\n\n\n
Very much a basein.dev<\/strong> kind of experiment.<\/p>\n\n\n\n
\n\n\n\nThe Startup Idea<\/h1>\n\n\n\n
The initial hypothesis was simple:<\/p>\n\n\n\n
Can open data be used to make a quick parcel-level scoring engine?<\/p>\n\n\n\n
At minimum, answer:<\/p>\n\n\n\n
Is something likely growing on this field right now?<\/strong><\/p>\n\n\n\n
Longer term:<\/p>\n\n\n\n
Can this evolve into:<\/p>\n\n\n\n
- \n
- risk scoring<\/li>\n\n\n\n
- monitoring<\/li>\n\n\n\n
- compliance<\/li>\n\n\n\n
- maybe even financial infrastructure<\/li>\n<\/ul>\n\n\n\n
That became the seed.<\/p>\n\n\n\n
\n\n\n\nMVP Architecture<\/h1>\n\n\n\n
The stack is intentionally boring.<\/p>\n\n\n\n
Boring stacks scale.<\/p>\n\n\n\n
Core stack<\/h3>\n\n\n\n
- \n
- PostgreSQL + PostGIS<\/strong>
for parcel geometry storage<\/li>\n\n\n\n- Python<\/strong>
for ingestion and scoring<\/li>\n\n\n\n- PHP API<\/strong>
for endpoints and product surface<\/li>\n\n\n\n- Docker Compose<\/strong>
for one-command startup<\/li>\n<\/ul>\n\n\n\n
\n\n\n\nData Inputs<\/h2>\n\n\n\n
Current MVP uses:<\/p>\n\n\n\n
1. Satellite Data (Sentinel Hub)<\/h3>\n\n\n\n
Used for NDVI analysis<\/strong>.<\/p>\n\n\n\n
NDVI:<\/p>\n\n\n\n
Normalized Difference Vegetation Index<\/p>\n\n\n\n
Simple idea:<\/p>\n\n\n\n
Higher value
\u2192 healthier vegetation<\/p>\n\n\n\nLower value
\u2192 weak or absent growth<\/p>\n\n\n\nThat alone gives surprisingly useful signal.<\/p>\n\n\n\n
\n\n\n\n2. Weather Data (Open-Meteo)<\/h2>\n\n\n\n
Using:<\/p>\n\n\n\n
- \n
- temperature<\/li>\n\n\n\n
- rain<\/li>\n\n\n\n
- daily observations<\/li>\n<\/ul>\n\n\n\n
Weather becomes a second scoring factor.<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/\u0417\u043d\u0456\u043c\u043e\u043a-\u0435\u043a\u0440\u0430\u043d\u0430-2026-04-11-190914-1024x544.png\")
<\/figure>\n\n\n\n
\n\n\n\n3. Parcel Geometry<\/h2>\n\n\n\n
Stored in PostGIS polygons.<\/p>\n\n\n\n
Originally entered manually.<\/p>\n\n\n\n
Later imported automatically.<\/p>\n\n\n\n
That changed everything.<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/ezgif-89baa14894c067ac.gif\")
<\/figure>\n\n\n\n
\n\n\n\nFrom Fake Data to Real Data<\/h1>\n\n\n\n
This matters.<\/p>\n\n\n\n
The project did not<\/strong> start with real satellite integrations.<\/p>\n\n\n\n
It started with fake data.<\/p>\n\n\n\n
And that was correct.<\/p>\n\n\n\n
First:<\/p>\n\n\n\n
prove pipeline<\/p>\n\n\n\n
Field
\u2192 ingest
\u2192 score
\u2192 API response<\/p>\n\n\n\nOnly after that:<\/p>\n\n\n\n
replace synthetic data with real sources.<\/p>\n\n\n\n
This sequence saves massive time.<\/p>\n\n\n\n
Many MVPs do the opposite.<\/p>\n\n\n\n
And die.<\/p>\n\n\n\n
\n\n\n\nThe First Scoring Model<\/h1>\n\n\n\n
Very simple:<\/p>\n\n\n\n
score =
0.6 * ndvi +
0.4 * weather_factor<\/pre>\n\n\n\nRisk buckets:<\/p>\n\n\n\n
- \n
- low<\/li>\n\n\n\n
- medium<\/li>\n\n\n\n
- high<\/li>\n<\/ul>\n\n\n\n
Simple?<\/p>\n\n\n\n
Yes.<\/p>\n\n\n\n
Useful?<\/p>\n\n\n\n
Enough for MVP validation.<\/p>\n\n\n\n
And importantly:<\/p>\n\n\n\n
explainable.<\/p>\n\n\n\n
Not black-box AI theater.<\/p>\n\n\n\n
\n\n\n\nWhy the Score Alone Is Not the Product<\/h1>\n\n\n\n
This became obvious fast.<\/p>\n\n\n\n
A score is just a number.<\/p>\n\n\n\n
Users do not want:<\/p>\n\n\n\n
\u201c0.48\u201d<\/p>\n\n\n\n
They want:<\/p>\n\n\n\n
Why?<\/p>\n\n\n\n
What changed?<\/p>\n\n\n\n
What should I do?<\/p>\n\n\n\n
So recommendations were added.<\/p>\n\n\n\n
Example outputs:<\/p>\n\n\n\n
- \n
- weak vegetation signal detected<\/li>\n\n\n\n
- verify crop presence<\/li>\n\n\n\n
- monitor parcel within 72 hours<\/li>\n<\/ul>\n\n\n\n
That turned a metric into a product.<\/p>\n\n\n\n
Huge difference.<\/p>\n\n\n\n
\n\n\n\nThe Ukraine Problem (And Why Estonia Happened)<\/h1>\n\n\n\n
The first instinct was Ukraine.<\/p>\n\n\n\n
Logical.<\/p>\n\n\n\n
But public registry access is constrained.<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/\u0417\u043d\u0456\u043c\u043e\u043a-\u0435\u043a\u0440\u0430\u043d\u0430-2026-04-11-091417-1-1024x366.png\")
<\/figure>\n\n\n\nThat route was not practical for this MVP.<\/p>\n\n\n\n
Rather than forcing a dead end: pivot.<\/p>\n\n\n\n
AI suggested Estonia.<\/p>\n\n\n\n
That turned out unexpectedly useful.<\/p>\n\n\n\n
\n\n\n\nEstonian Parcel Import<\/h2>\n\n\n\n
This became a breakthrough.<\/p>\n\n\n\n
Using public cadastral data: <\/p>\n\n\n\n
enter cadastral number<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/\u0417\u043d\u0456\u043c\u043e\u043a-\u0435\u043a\u0440\u0430\u043d\u0430-2026-04-24-095647.png\")
<\/figure>\n\n\n\nimport parcel geometry automatically<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/\u0417\u043d\u0456\u043c\u043e\u043a-\u0435\u043a\u0440\u0430\u043d\u0430-2026-04-24-095709-1024x414.png\")
<\/figure>\n\n\n\nNo manual polygon drawing.<\/p>\n\n\n\n
That changed demoability overnight.<\/p>\n\n\n\n
Flow became:<\/p>\n\n\n\n
Parcel ID
\u2192 Import parcel
\u2192 Fetch data
\u2192 Score field<\/p>\n\n\n\nNow it looked like a product.<\/p>\n\n\n\n
Not a dev toy.<\/p>\n\n\n\n
\n\n\n\nCurrent MVP Can Do This<\/h1>\n\n\n\n
Today it can:<\/p>\n\n\n\n
- \n
- import real parcel geometry<\/li>\n\n\n\n
- fetch NDVI from satellite data<\/li>\n\n\n\n
- fetch weather from Open-Meteo<\/li>\n\n\n\n
- calculate parcel score<\/li>\n\n\n\n
- generate recommendations<\/li>\n\n\n\n
- expose results via API<\/li>\n\n\n\n
- display it through map UI<\/li>\n<\/ul>\n\n\n\n
That is already a meaningful vertical slice.<\/p>\n\n\n\n
![\"\"](\"https:\/\/basein.dev\/blog\/wp-content\/uploads\/2026\/04\/\u0417\u043d\u0456\u043c\u043e\u043a-\u0435\u043a\u0440\u0430\u043d\u0430-2026-04-24-095907.png\")
<\/figure>\n\n\n\n
\n\n\n\nWhat This Could Become<\/h1>\n\n\n\n
This is where startup logic matters.<\/p>\n\n\n\n
Raw parcel scoring alone?<\/p>\n\n\n\n
Probably weak.<\/p>\n\n\n\n
But as infrastructure layer?<\/p>\n\n\n\n
Interesting.<\/p>\n\n\n\n
Possible directions:<\/p>\n\n\n\n
1. Farm Monitoring SaaS<\/h2>\n\n\n\n
Recurring monitoring.<\/p>\n\n\n\n
Historical trends.<\/p>\n\n\n\n
Alerts.<\/p>\n\n\n\n
Subscriptions.<\/p>\n\n\n\n
\n\n\n\n2. Agri Risk Scoring API<\/h2>\n\n\n\n
Banks.<\/p>\n\n\n\n
Insurers.<\/p>\n\n\n\n
Input suppliers.<\/p>\n\n\n\n
Much more interesting buyer category.<\/p>\n\n\n\n
Personally I find this one strongest.<\/p>\n\n\n\n
\n\n\n\n3. Compliance \/ Traceability Layer<\/h2>\n\n\n\n
Especially under growing EU pressure.<\/p>\n\n\n\n
Potentially much larger than \u201cfarm app\u201d territory.<\/p>\n\n\n\n
\n\n\n\n4. Carbon \/ ESG Data Layer<\/h2>\n\n\n\n
Possibly later.<\/p>\n\n\n\n
But only after strong data foundation.<\/p>\n\n\n\n
Not as starting point.<\/p>\n\n\n\n
\n\n\n\nWhat I Would Not Build<\/h1>\n\n\n\n
Probably not:<\/p>\n\n\n\n
- \n
- drone startup<\/li>\n\n\n\n
- agri hardware<\/li>\n\n\n\n
- IoT sensor business<\/li>\n\n\n\n
- robotics<\/li>\n\n\n\n
- heavy field operations<\/li>\n<\/ul>\n\n\n\n
Too much capital.<\/p>\n\n\n\n
Too much operational gravity.<\/p>\n\n\n\n
For a small digital asset thesis:<\/p>\n\n\n\n
software wins.<\/p>\n\n\n\n
\n\n\n\nLessons from Building This MVP<\/h1>\n\n\n\n
1. Start With a Vertical Slice<\/h2>\n\n\n\n
Not platform vision.<\/p>\n\n\n\n
One useful loop.<\/p>\n\n\n\n
\n\n\n\n2. Fake Data First<\/h2>\n\n\n\n
Counterintuitive.<\/p>\n\n\n\n
Correct.<\/p>\n\n\n\n
\n\n\n\n3. Explainability Beats AI Buzzwords<\/h2>\n\n\n\n
Especially in early products.<\/p>\n\n\n\n
\n\n\n\n4. Data Near Money Is More Valuable<\/h2>\n\n\n\n
Farmer dashboards are nice.<\/p>\n\n\n\n
Financial risk tools may be better businesses.<\/p>\n\n\n\n
\n\n\n\n5. Country-Agnostic Architecture Matters<\/h2>\n\n\n\n
Ukraine blocked one route.<\/p>\n\n\n\n
Estonia opened another.<\/p>\n\n\n\n
Architecture survived.<\/p>\n\n\n\n
That matters.<\/p>\n\n\n\n
\n\n\n\nWhy This Fits the basein.dev Thesis<\/h1>\n\n\n\n
This project fits something I keep coming back to:<\/p>\n\n\n\n
small digital assets.<\/p>\n\n\n\n
Buildable online products.<\/p>\n\n\n\n
Micro tools.<\/p>\n\n\n\n
Micro SaaS.<\/p>\n\n\n\n
Systems you can launch, test, automate, maybe scale.<\/p>\n\n\n\n
Without needing venture money to breathe.<\/p>\n\n\n\n
This was not:<\/p>\n\n\n\n
\u201clet\u2019s start an AgriTech company\u201d<\/p>\n\n\n\n
It was:<\/p>\n\n\n\n
\u201cWhat happens if I build one slice?\u201d<\/p>\n\n\n\n
Much better question.<\/p>\n\n\n\n
\n\n\n\nIs There Real Business Potential?<\/h1>\n\n\n\n
Maybe.<\/p>\n\n\n\n
But not where many people think.<\/p>\n\n\n\n
Not in \u201cfarm app\u201d.<\/p>\n\n\n\n
Possibly in:<\/p>\n\n\n\n
- \n
- scoring infrastructure<\/li>\n\n\n\n
- geospatial APIs<\/li>\n\n\n\n
- compliance tooling<\/li>\n\n\n\n
- risk layers<\/li>\n<\/ul>\n\n\n\n
Closer to money.<\/p>\n\n\n\n
Closer to pain.<\/p>\n\n\n\n
Closer to budgets.<\/p>\n\n\n\n
That is where products survive.<\/p>\n\n\n\n
\n\n\n\nTech Stack Recap<\/h1>\n\n\n\n
For people who came here via search:<\/p>\n\n\n\n
Stack used:<\/h3>\n\n\n\n
- \n
- PostGIS<\/li>\n\n\n\n
- Docker<\/li>\n\n\n\n
- Python<\/li>\n\n\n\n
- PHP<\/li>\n\n\n\n
- Sentinel Hub API<\/li>\n\n\n\n
- Open-Meteo API<\/li>\n<\/ul>\n\n\n\n
Concepts used:<\/h3>\n\n\n\n
- \n
- AgriTech SaaS<\/li>\n\n\n\n
- Satellite Data<\/li>\n\n\n\n
- NDVI + API<\/li>\n\n\n\n
- Parcel Scoring<\/li>\n\n\n\n
- Geospatial MVP<\/li>\n<\/ul>\n\n\n\n
If you searched for:<\/p>\n\n\n\n
- \n
- how to build an agritech startup<\/li>\n\n\n\n
- farm monitoring software MVP<\/li>\n\n\n\n
- NDVI API project<\/li>\n\n\n\n
- satellite data SaaS<\/li>\n\n\n\n
- agritech micro SaaS ideas<\/li>\n<\/ul>\n\n\n\n
\u2026this is exactly what this was.<\/p>\n\n\n\n
\n\n\n\nWhat I\u2019d Build Next<\/h1>\n\n\n\n
If continuing:<\/p>\n\n\n\n
Priority order:<\/p>\n\n\n\n
- \n
- automatic re-scoring after import<\/li>\n\n\n\n
- parcel metadata model<\/li>\n\n\n\n
- duplicate-safe parcel import<\/li>\n\n\n\n
- score history<\/li>\n\n\n\n
- multi-country parcel providers<\/li>\n\n\n\n
- risk scoring for finance use cases<\/li>\n<\/ol>\n\n\n\n
That feels like the real next layer.<\/p>\n\n\n\n
\n\n\n\nFinal Thought<\/h1>\n\n\n\n
Funny enough, this whole experiment began because AI casually suggested:<\/p>\n\n\n\n
\u201cMaybe build an agri startup.\u201d<\/p>\n\n\n\n
I treated it as a challenge.<\/p>\n\n\n\n
And challenges sometimes turn into products.<\/p>\n\n\n\n
And maybe, if a long-term dream of owning a tiny vineyard ever happens\u2026<\/p>\n\n\n\n
thinking about agriculture through software today may not be the worst detour.<\/p>\n\n\n\n
\n\n\n\nQuestion<\/h2>\n\n\n\n
Would you push this toward:<\/p>\n\n\n\n
- \n
- Agri risk scoring API<\/li>\n\n\n\n
- Monitoring SaaS<\/li>\n\n\n\n
- Compliance product<\/li>\n\n\n\n
- Or pivot completely?<\/li>\n<\/ul>\n\n\n\n
Curious what you\u2019d build.<\/p>\n","protected":false},"excerpt":{"rendered":"
From Idea to Working Farm Scoring Tool Using PostGIS, Sentinel Hub and Open-Meteo This started as a simple experiment: could…<\/p>\n","protected":false},"author":1,"featured_media":631,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[878],"tags":[],"class_list":["post-622","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-in-progress-build"],"yoast_head":"\n
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- Python<\/strong>
- PostgreSQL + PostGIS<\/strong>