Elevating your research with our statistical expertise

Transforming your agricultural research data into analysis along with interpretation using different agri analyze tools.

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Welcome to Agri Analyze

Your trusted partner in delivering customized analysis and interpretation services for complex agricultural and allied research data. Our firm is committed to providing comprehensive consultations on the application of statistical techniques to address a wide range of research challenges.

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Our Services

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Customized Analysis

Tailoring our statistical expertise to meet the unique demands of your agricultural research data. Starting from simple CRD, RCBD analysis to Combined Split plot Analysis in design of experiments and from genetic variability analysis to GWAS in genetics and plant breeding field.

Consultation

Offering guidance on the application of statistical techniques, spanning from traditional methodologies like the design of experiments to cutting-edge approaches such as Genome-wide Association Studies (GWAS) and various Machine Learning techniques.

On-Demand Training

We understand the importance of staying ahead in the ever-evolving landscape of agricultural research. That's why we offer on-demand training sessions, empowering researchers with the skills needed to navigate and analyze data effectively. Dr. Raj Popat as a resource person has trained more than 500+ researchers across 5 universities including prestigious universities like LPU, Ludhiana and ITM, Gwalior.

Why you Choose Us

A small survey conducted by us revealed that on an average researchers spends around 18.59 valuable hours on understanding and analysis the research data and almost 1863 Rs of money. Save both your time and money by using Agri Analyze for paying 50 to 299 Rs depending on your analysis and get analysis along with interpretation..
At Agri Analyze, we are dedicated to unlocking insights within complex data, enabling informed decisions, and fostering innovation in the field of agriculture. Join us on this journey towards a more data-driven and sustainable future.

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