Dr Shyamal Virnodkar Associate Professor, Dept of Computer Engineering K J Somaiya Institute for TechnologyProgramme Leader
(1).png)
Our Thematic Areas
The Big Data and AI in Sustainability Programme is developed, operated and managed by teams of academics, researchers, farmers, and stakeholders. Universities Research Centre Farmers IndustryCollaborations for Sustainability
Interconnectedness is the key to unlock and address problems AI algorithms, combined with Big Data, help identify and correlate crop patterns, growth trends, biotic & abiotic factors, and the traditional vs innovative practices that were previously difficult to uncover, leading to more informed decision-making and targeted interventions for farming communities. Data generation and storage, Technology literacy, Innovation in agritools/devices, and Communication & outreach are approaches to address this. We plan to address and make data-driven decisions to co-design innovative solutions to tackle environmental issues, conserve resources, and create more resilient and equitable societies. The initial questions that we pose ourselves to answer are – Which or what all data are required for developing models to understand yield? What is/are the innovation value of our methodologies? How do we store the big data and what measures will we follow for data integrity? What is the extent of data integration should we aim for a short-term and long-term study? How can we communicate and educate farmers on our interventions? We are a team of specialists from microbiome science and engineering, plant breeding, pathogen and insect management, soil chemists and physicists, entomologists, agricultural engineers, agroeconomists, meteorologists, sociologists, data scientists, systems engineers, and outreach specialists working with farmers and other stakeholders to co-design regenerative agricultural systems. We aim to strengthen the research and outreach support provided by Godavari Biorefineries Limited to smallholding farming communities at Sameeerwadi, Karnataka by helping to choose the best farming practice, select the economically rewarding combination of intercrops, and manage the farms through technology. Simultaneously, we will work towards providing a greener supply chain option to both benefactor and beneficiary. Our first-year plan is to conduct build a data and training set by geofencing 100,000+ farm plots of sugarcane farmers associated with GBL.The 5 Ws
Why a programme in Big data and AI in sustainability?
What do we address?
Who are we?
Whom do we serve?
What is our plan?
