AGRICULTURE

Evolving farming with technology and making it future ready.

CULTIVATING TRADITIONAL FARMING WITH FUTURE TECHNOLOGY WILL ALLOW SOCIO ECONOMIC GROWTH ACROSS THE COUNTRY

With GIS technologies, crop monitoring, yield estimation, future crop planning, soil fertility monitoring, irrigation planning and many other farming activities can be optimized resulting in better growth for farmers and the economy.

Digital Elevation Model

3D surface of the agricultural farms/lands can be generated through DEM. Slope, aspect, curvature, drainage network, catchment boundaries can be generated for landscape modelling.

Water Level Modelling For Irrigation & Planning

GIS spatial analysis capabilities helps in estimation of irrigation water requirement from a farm level to regional scale and producing more crops with efficient utilization of available water.

Ground Data Collection

Mapping of agricultural land using different ground survey technologies such as DGPS/Total Station/Drone and Mobile Application helps in database updating and information generation.

Planning / Analysis / Modelling

Get real-time information on agriculture pattern and soil type for better farm management,field planning &farminfrastructure.

Crop Health Analysis

Technology can help in identification of pests/diseases and measurements of soil macronutrients for efficient agricultural production, including site-specific crop management (SSCM).

Satellite Image Processing & Interpretation

Satellite image interpretation & data manipulation with different algorithms helps to estimate yield.

Crop Acreage Estimation

Geo-spatial technologies with scientific techniques like crop simulation modelling generate the required information for crop acreage estimation.

Crop Identification

Ground data along with remote sensing is used to map different crops based on the subtle differences in their optical characteristics.

Crop Yield Estimation & Forecasting

Yield estimation for crop is done through various yield models; based on statistical analysis between various factors influencing crop production.

Management Information System

Spatially integrated statistical information having rich content of ground data and classified reports is useful for decision makers to understand facts and implement policies for end users.