How to use Mobile Data Collection tools for Soil Sampling in Agriculture

Considering climate change as an important factor in the world farm production, advances in GPS and GIS technology allow farmers to analyze farming conditions and create a better management system of resources. Mobile Data Collection application can simplify the soil sampling process in agriculture and provide you with georeferenced datasets for future projections and fluctuations for your crop output.

soil sampling MDC


In the past, farmers would spread the fertilizer evenly across the entire field. But with geospatial technology, producers can analyze the soil data with historical farming practices and determine the right amount of fertilizer to improve the soil nutrient levels for different types of crops. On the other side, producers can decrease the amount of fertilizers in certain areas and record how much has been applied to each crop type. With collected GIS data, producers can measure the effects of different farm management practices and monitor farm conditions to make more informed decisions.


Find out how to use GIS Cloud and remote sensing technologies for crop damage assessment process in this article.


Geospatial technology in precision agriculture offers a powerful set of capabilities that improve farming practices. With Data collection app you can record the information on custom form templates and an intuitive interface, suitable for non-GIS users, to precisely mark and locate soil sample points in the field, online or offline. Use Map Editor to easily import and sync lab results to review existing historical data. With available spatial analyze tools, you can identify the spatial patterns and correlations between soil nutrients, soil types and crop inputs.




1. Create custom forms.

In MDC app, you can create custom forms for different data collection scenarios. A form is actually a structured PostGIS database that automatically georeferences the data to the map. Users can collect different types of attribute data such as date and time of sample collection, soil types in the predefined select list, nutrient availability, crop characteristics, coordinates and take notes or photos.


2. Collect and edit soil sample records.

Field collectors can mark the location of soil sample with GPS from a mobile device, by pinpointing the exact location on the map or with external GPS devices. MDC allows you to find the same locations in the future so that you can do historical comparisons of samples. You can make fast updates and edits to your data in the field or in the office.


3. Work and collect offline.

Even if you don’t have an internet connection when you’re in the field, you can collect data offline. Download the map on your device before you go in the field, collect the data and sync them whenever you want.
4. Sync the lab results with the soil sample locations.

After the soil sample lab results are finished, the CSV data can be imported to Map Editor and joined with the soil sample locations to get a better overview of the soil nutrient levels in different areas of the field.


5. Identify spatial patterns. Add raster data.

Spatial selection tool allows you to build spatial queries for the layers on the map. You can compare attribute data as well as location data to analyze and identify the patterns in crop production decisions. Import raster data such as multispectral orthophoto or NDVI of your field to determine which areas require immediate attention.


6. Search and review historical data.

Producers can search, find and review historical sample data by ID number both in mobile or web application. Farmers can precisely determine the amounts of resources (fertilizers, pesticides and herbicides) they should use to increase agricultural productivity of their crops.


Find out how our client form Greece, NubiGroup, is using GIS Cloud technologies for precision farming in this article.


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