The present report highlights the prime objectives, discussions, and insights from the “Training Workshop on Digital Data and Tools for Managing Agriculture: Focusing on Earth Observation Data and Climate Change” organised at IIIT Bhubaneshwar from 21st to 23rd December 2023. IIIT Bhubaneshwar, IWMI and IEEE, GRSS Kolkata Chapter jointly conducted the workshop. The main aim of the workshop was to equip participants with practical skills and knowledge to utilise digital data and tools, especially EO data, for effective agricultural management in the context of climate change and make evidencebased decisions to confront challenges in the food system, urban and peri-urban water pollution and greenhouse gas (GHG) emissions. The inclusivity and diversity, reflected in gender representation, institutional affiliations and education levels of the participants from various states of India, created a dynamic and comprehensive learning community among the 82 participants. The criticality of EO data and digital tools in informing agricultural management decisions was rigorously examined and elucidated through a comprehensive program comprising six keynote addresses, nine scholarly lectures, and six practical demonstrations, all facilitated by esteemed national/state (including IITG, IIWM, Assam University, OSDMA, etc.), international institutions (such as IWMI, World Bank, DLR, SAADRI, etc.) and industries (such as Innomick, SPARC, etc). The talks covered a broad range of subjects, including the importance of data, advanced data analytics, and geospatial technology in dealing with the current problems in agriculture. Data-driven strategies for sustainable agricultural development covering various topics such as wetlands degradation, water scarcity, GHG emissions from hydropower reservoirs, water hyacinth mapping, applications of AI/ML in agriculture and climate-smart agriculture were discussed in the training workshop. The discourse was further enriched by an expert panel discussion on the ‘Role of Digital Tools in Mitigating Climate Change Effects on Agriculture’, an intensive brainstorming session ‘Data Science and Sustainability Challenge’, and a showcase of research presentation by the participants. The panel discussion highlighted the intricate dynamics between climate change, agriculture, and technology. Therefore, the workshop was successful in delivering and fostering interdisciplinary collaboration among the participants with significant learning outcomes from practical hands-on demonstration sessions like leveraging cloud computational web platforms, for instance, GEE for agricultural area mapping, uses of AI and ML for farmland monitoring and evaluation of post-disaster (flood and drought) impact scenario on agricultural areas and index-based crop insurance using lucid web-based real-time assessment tools were the prime attraction of the workshop to train the forthcoming researchers and professionals to use them in their respective field for a better outcome and working towards resilient future.