SoilMate

The Problem

In India, most small farmers choose crops by tradition and word of mouth, not data. Information about soil, rainfall and market prices exists, but it's spread across different government websites and hard to use. The result is wrong crops, wasted water, and unpredictable income.

The Approach

1. 1

   Collect the data

   Soil, weather, market prices and crop information from Indian government websites, covering 2018–2024 across the state of Karnataka.

2. 2

   Clean it up

   The same district was spelled differently in different files, and some readings were missing. We fixed the names and filled the gaps so everything could be joined into one reliable dataset.

3. 3

   Turn numbers into signals farmers care about

   Like a soil quality score and a water stress score, instead of raw chemistry readings.

4. 4

   Test models, keep the best

   We tried four different prediction methods and kept the one that picked the right crop most often: 92.8% of the time.

5. 5

   Build the dashboard

   A simple five-tab app: a farmer picks their district, season and water source, and instantly sees what to grow, what it costs, and what it could earn.

The Evidence

The Outcome