Executive Development Programme in Agri-Logistics: AI and the Supply Chain

• Unit 1: Introduction to Agri-Logistics – Understanding the basics of agri-logistics and its role in the supply chain.
• Unit 2: Artificial Intelligence (AI) in Supply Chain Management – Overview of AI and its impact on supply chain management.
• Unit 3: AI-Enabled Agri-Logistics – Examining the use of AI in agri-logistics, including predictive analytics and automation.
• Unit 4: Data Analytics in Agri-Logistics – Utilizing data to optimize agri-logistics operations.
• Unit 5: Autonomous Vehicles in Agri-Logistics &br; – Exploring the potential of autonomous vehicles for transportation and handling of agricultural products.
• Unit 6: IoT and Sensor Technology in Agri-Logistics – Leveraging IoT and sensor technology for real-time monitoring and tracking.
• Unit 7: Machine Learning in Agri-Logistics – Applying machine learning algorithms to improve decision making and predictive maintenance.
• Unit 8: Blockchain in Agri-Logistics – Understanding the role of blockchain technology in ensuring transparency and traceability in the supply chain.
• Unit 9: Cybersecurity in Agri-Logistics – Protecting agri-logistics operations from cyber threats.
• Unit 10: Future Trends in AI and Agri-Logistics – Examining the latest developments and future possibilities of AI in agri-logistics.