Welcome to GRAPES – trusted platform for data analysis in agricultural research
Launched in 2020, GRAPES was built to empower students, agricultural researchers, and scientists around the world—no boundaries, no barriers. Powered by the dynamic duo of R and Python, GRAPES isn’t just for agricultural research; its statistical tools and concepts can serve researchers in any field. Over time, our modules have been rigorously tested, validated, and refined, thanks to the valuable feedback of our global community. Today, GRAPES is cited in over 100 international Scopus-indexed journals and trusted by over 100,000 users worldwide.
But we didn’t stop there. In 2024, inspired by advancements in AI and analytics, we introduced RAISINS (R and AI Solutions in INferential Statistics)—an advanced version of GRAPES for selected modules. Built in partnership with STATOBERRY LLP a vibrant startup by Agricultural Statistics postgraduates we mentored. RAISINS brings cutting-edge solutions to inferential statistics with a pinch of AI brilliance.
Our vision? "To bring all statistical tools for agricultural research under one umbrella while keeping simplicity at the core". GRAPES and RAISINS are here to make sour statistics sweet and accessible to everyone.
So, whether you’re battling datasets or exploring uncharted research territories, we’ve got your back. Use our tools, share your feedback, and let’s grow together. After all, we’re here to help you make data analysis less of a chore and more of a joy.
Happy statistics with GRAPES & RAISINS!
This is a data analysis tool for Agricultural research and we strongly feel that to really do something well, you have to get a lot of people involved. Kindly post your suggestions and feedback below.
NEWS
Introducing new app RAISINS-CRD for completely randomized design/one-way ANOVA analysis. Developed by Statoberry LLP, a student startup mentored by us.
OUR TEAM
Grapes Logo designed by: Arjun Mohan; Email: arjunmohanpv@gmail.com
A Product from Department of Agricultural Statistics,
College of Agriculture, Vellayani
Kerala Agricultural University
To cite the web-application 'GRAPES' in publications use:
Gopinath, P. P, Parsad, R, Joseph, B, Adarsh, V. S.,(2020). GRAPES: General Rshiny Based Analysis Platform Empowered by Statistics. https://www.kaugrapes.com/home. version 1.0.0. DOI: 10.5281/zenodo.4923220
A BibTeX entry for LaTeX users is
@Manual{,title = {GRAPES: General R-shiny Based Analysis Platform Empowered by Statistics},Author ={Pratheesh P. Gopinath, Rajender Parsad, Brigit Joseph, Adarsh V. S.}, note = {version 1.0.0},year={2020},note= {https://www.kaugrapes.com/home}, url= {https://doi.org/10.5281/zenodo.4923220},
}