RESEARCH PROJECT 02

DIGITAL VILLAGE

A digital agriculture research initiative combining farmer surveys, field data, IoT sensing, geospatial mapping and satellite-based vegetation analysis.

Digital Agriculture IoT GIS Mapping Remote Sensing NDVI
02

DIGITAL AGRICULTURE

Connecting field observations with digital intelligence.

PROJECT OVERVIEW

Field Data
Meets Digital
Agriculture

The project involved collecting, organizing and analyzing information about agricultural fields and farmers.

The documented activities included farmer surveys, plot tracking, GPS information, field observations, environmental sensors and satellite imagery.

FIELD DATA

Understanding
the Field

01

Farmer Profile

Information associated with farmers and their agricultural activities.

02

Plot Tracker

Field plot information, measurements and observations.

03

Seasonal Survey

Crop, irrigation, harvest and seasonal agricultural information.

04

GPS & Mapping

Geospatial information used to understand agricultural plots.

INTERNET OF THINGS

Environmental
Sensors

The project documentation describes the installation of three temperature and humidity sensors.

Two sensors were used to extend the communication path from the main hub, while another was positioned near the examined plots.

TEMPERATURE
HUMIDITY
FIELD SENSOR

GEOSPATIAL RESEARCH

Mapping the
Agricultural Landscape

Village Study Area
→
Plots Field Boundaries
→
GPS Location Data
→
Satellite Remote Sensing

REMOTE SENSING

Sentinel-2
& NDVI

Sentinel-2 imagery was explored as a source of information about vegetation conditions across agricultural areas.

Vegetation indices were applied to imagery to examine vegetation patterns over time and across selected plots.

The documented analysis identified non-uniform NDVI patterns within selected plots that could indicate locations requiring additional field investigation.

NDVI

Vegetation Monitoring

Satellite-based vegetation analysis can help identify areas that may require closer examination using field measurements or additional remote-sensing methods.

RESEARCH WORKFLOW

From Survey
to Field Action

01 Farmer Survey
02 Field Data
03 Mapping
04 Satellite Analysis
05 NDVI Monitoring
06 Follow-up Investigation

MY CONTRIBUTION

Project Activities

Website / App Interface
Data Visualization
Data Management
Mapping
Translation / Localization
Field Coordination