Techno-Commercial feasibility through Applied sciences, Process engineering and Financial analysis tools

Science is applied using various fields of engineering that can eventually benefits human. Our approach is based on those elements that are thoroughly researched, conceptually proven and repeatable under real conditions.

The approach integrate multidisciplinary field of science such as Earth Sciences, Material Sciences,  Electrical Sciences and Computational Sciences.

Earth Science:

1. Meteorology is used to understand climatic and rainfall data to deploy them in planning propagation and related aspects such as wind power.
2. Hydrology techniques are used to survey catchments, surface and groundwater for Agro-production and Conservation and their applications in the design of earth structures (reservoirs, check dams and drainage systems).
3. Environmental chemistry is used to arrive at soil and atmosphere relationships and overall carbon footprints required to maintain bio-sustainability and also protect from pollutants, heavy metals and other regenerating factors.

Material Science:

1. Physio-chemical Analysis of materials as solids (soil, grains, etc.), fluids (milk, etc.) and gases (methane, etc.).
2. Synthesis and Utilization of Organic such as Hydrocolloids, Sugars, Fats and Oils and In-organic compounds such as NPK fertilizers and Micro-nutrients (Fe, Zn, Mg, Ca, etc.).
3. Mechanical and Bio-chemical unit operations with materials for applications in Farming, Handling, Treatment, Processing and the design of their machinery and equipment such as Implements, Reactors and Tools.

Electrical Science:

1. Electrical & Electronical circuits in the design of power systems and control logic interfacing with PLC, etc.
2. Measurements & instrumentation for deploying senses to collect field data that can be fed to transducers.
3. Process control and automation using data from diverse sources (both software and hardware) for actuating using Power systems, Process controllers and Drives, Mechanical transmission, Robotics, etc.

Computational Science:

1. Data Structure and algorithms for development and optimization of operational parameters.
2. Data Science and analysis for operation and financial modeling (Project budgeting, Income and Cash flow) using sequential database.
3. Computing devices for enabling both Desktops and Mobiles using a graphical interface platform such as Microsoft enterprise solutions, etc.