KAU GRAPES
A free platform with more than 30 analytical modules, 200,000+ users worldwide and 500+ scholarly citations.
HEAD OF DEPARTMENT · SINCE FEBRUARY 2023
Dr. Pratheesh P. Gopinath is Assistant Professor and Head of the Department of Agricultural Statistics at the College of Agriculture, Vellayani. His work connects statistical methodology, R programming, agricultural biodiversity and applied AI.
820+Citations
100+Publications
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Research and teaching
With more than a decade of experience in R programming and data analysis, Dr. Gopinath develops practical statistical tools for agricultural and interdisciplinary research. His expertise includes experimental design, sampling, multivariate analysis, mixed models, R and Python, Shiny applications, machine learning and reproducible research.
Expertise
Agricultural statisticsDesign of experimentsSampling methodsMultivariate analysisMixed modelsR and PythonShiny applicationsMachine learningApplied AIReproducible research
He completed a Ph.D. in Agricultural Statistics in 2021 and an M.Sc. in Agricultural Statistics in 2014 at ICAR-Indian Agricultural Research Institute, New Delhi. His doctoral work focused on statistical designs for factorial treatment structures. He has advised postgraduate and doctoral research and led national training programmes for researchers and scientists.
Software and innovation
RAISINS
Used by 12,000+ users, three State Agricultural Universities, six ICAR institutions and the University of Idaho, USA.
His open-source work includes the R packages grapesAgri1 and grapesDraw. His applied AI research includes computer vision for Nendran banana ripeness grading, black pepper disease identification and AI-assisted agricultural advisory services.
Selected publications
Statistical methods papers
Selected contributions to statistical methodology include:
- Incomplete row-column designs with factorial treatment structure for estimating main effects with full efficiency, Communications in Statistics – Theory and Methods 47 (2018), with Rajender Parsad and Baidya Nath Mandal.
- Two-dimensional balanced sampling plans excluding adjacent units under sharing a border and island adjacency schemes, Communications in Statistics – Simulation and Computation 47 (2018), with Rajender Parsad and B. N. Mandal.
- grapesAgri1: Collection of Shiny Apps for Data Analysis in Agriculture, Journal of Open Source Software 6 (2021), with Rajender Parsad, Brigit Joseph and V. S. Adarsh.
Selected high-impact and applied research
- grapesDraw: Bridging Data Visualization for Statistical Education and Research in Agriculture, Teaching Statistics (2026).
- Convergence of climate change relevant decisions and bounded livelihood choices of smallholder black pepper farmers, Regional Environmental Change 26 (2026).
- Integrating AI chatbots for advisory support in black pepper cultivation, The Journal of Agricultural Education and Extension (2026).
- Foliar symptom-based disease detection in black pepper using convolutional neural network, Phytopathology Research (2025).
- Digital assessment of post-harvest Nendran banana for faster grading, Postharvest Biology and Technology 214 (2024).
- Integrated morphological and biochemical analysis of selected sesame species, Frontiers in Plant Science (2025).
- In situ characterization of tamarind fruit and sweet types in Kerala, Plant Genetic Resources (2023).
Recognition and service
His recognition includes the National Research Innovation Challenge 2022 award from Kerala Startup Mission and best oral presentation at the 2024 Indian Society of Agricultural Statistics conference. He is founder and managing editor of the open-access Journal of Sustainable Technology in Agriculture and mentor of the K-Agtech Launchpad.