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Dr Vinod Pandit
Regional Director, South Asia
2nd Floor, CG Block, NASC Complex, DP Shastri Marg, New Delhi - 110012, India
Qualifications
PhD in Mycology and Plant Pathology
About
As Regional Director for South Asia, I have over 20 years of experience in promoting sustainable plant health systems and market access programmes in the South Asian region.
I have played a key role in developing strategic partnerships, policy formation and leading initiatives aimed at enhancing agricultural productivity and trade within CABI’s projects and programmes, such as CABI’s Plantwise programme. CABI’s work aims to improve the lives of farmers by improving agricultural practices and increasing access to information for farmers in the region.
My expertise in Sanitary and Phytosanitary (SPS) measures has been recognized with WTO certificates for knowledge of trade regulations and market access. I have been involved in regional studies, commissioned by organizations such as the FAO, which have documented issues relating to SPS in agriculture trade in Asia and Pacific countries. Furthermore, I have participated in technical international working groups, playing a pivotal role in the development of guidelines with the FAO-IPPC for the implementation of ISPM-15 – an essential standard for phytosanitary measures, and also shared my knowledge and experience with various governmental bodies and advisory boards.
I have a PhD in Mycology and Plant Pathology from Banaras Hindu University.
CABI centre: India
CABI first established a centre in India in 1948. Ever since, the centre has been implementing programmes and working with partners to help improve the lives of people and communities in the region.
Related projects
Generative AI for Agriculture Advisory
Generative Artificial Intelligence (GenAI) technology offers enormous potential by addressing information asymmetries and rapidly advancing research. In the agriculture sector, it can localize digital advisory messages and increase the accessibility of such messages to reduce the digital divide compared to traditional, non-AI communication methods. Using natural language processing (NLP) and large language models (LLMs) offers new potential to disseminate complex scientific information more widely, in local dialects and through various formats, transforming accessibility. This project will explore the potential to deliver advisories based on CABI’s highly curated and expert-validated resources to plant doctors and other agriculture advisors via Generative AI chatbot technology, and the data governance and licensing necessary to ensure the quality of such advisories.
Start: 15/04/24 -End: 31/12/24