Mukesh Kumar Saini – författare

This book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023.The 18 papers were thoroughly reviewed and selected from the 52 submissions. They examine how computing disciplines such as big data analytics, artificial intelligence, machine learning, the Internet of Things (IoT), remote sensing, robotics, and drones can be applied to agriculture to address some of the biggest challenges facing the industry today, including climate change, food security, and environmental sustainability.

This book constitutes revised selected papers from the First International Conference on Agriculture-Centric Computation, ICA 2023, held in Chandigarh, India, in May 2023.The 18 papers were thoroughly reviewed and selected from the 52 submissions. They examine how computing disciplines such as big data analytics, artificial intelligence, machine learning, the Internet of Things (IoT), remote sensing, robotics, and drones can be applied to agriculture to address some of the biggest challenges facing the industry today, including climate change, food security, and environmental sustainability.

This book constitutes the proceedings of the Second International Conference on Agricultural-Centric Computation, ICA 2024, held in Delhi, India, during May 21–24, 2024.The 20 full papers and 6 short papers included in this book were carefully reviewed and selected from 79 submissions. This year's conference focuses on how advanced computational techniques can address critical issues in the agricultural sector, such as climate resilience, food security, sustainable practices, biodiversity conservation, soil health, water management, and market access.

This book constitutes the proceedings of the Third International Conference on Agricultural-Centric Computation, ICA 2025, held in Guwahati, India, during May 13–16, 2025.The 25 full papers and 3 short papers included in this volume were carefully reviewed and selected from 115 submissions. They were organized under the following thematic areas: AI & Machine Learning in Agriculture, IoT and Sensor Networks for Smart Farming, Robotics and Automation, Climate-Resilient and Sustainable Technologies, and Precision Agriculture and Data Analytics.