Artificial Intelligence and Advanced Analytics for Food Security [Paperback]

SECTION 1: ADVANCED ANALYTICS. Time Series and Advanced Analytics. Data Engineering Techniques for Artificial Intelligence and Advanced Analytics. SECTION 2: FOOD SECURITY & MACHINE LEARNING. Food Security Bell Curve and Linkage Model. Food Security Drivers & Key Signal Pattern Analysis. SECTION 3: PREVALENCE OF UNDERNOURISHMENT AND SEVERE FOOD INSECURITY IN THE POPULATION MODELS. Commodity Terms of Trade & Food Security. Climate Change and Agricultural Yield Analytics. Energy Shocks and Macroeconomic Linkage Analytics. Future.

The mission of the book is to prepare current and future data science and software engineering teams with the skills to fully utilize advanced data science to develop agricultural software capabilities that help to achieve sustained food security for years to come and ensure enough food for the future of the planet and generations to come!

Chandra is a seasoned Software IT Executive with diverse experience in Software Technologies, Enterprise Software Architectures, Cloud Computing, Big Data Business Analytics, Internet Of Things (IoT), and Software Product & Program Management. Chandra held engineering and Product leadership roles at GE Healthcare, Cisco Systems, St. Jude Medical, and Lucent Technologies, a Bell Laboratories Company. Chandra teaches Software Engineering, Mobile Computing, Cloud Technologies, and Web & Data Mining for Masters Program in San Jose State University.Additionally, Chandra held market research, strategy and technology architecture advisory roles in Cisco Systems, Lam Research and performed Principal Investigator role for Valley School of Nursing where he connected Nursing Educators & Students with Virtual Reality technologies. Chandra has functioned as Chair in numerous technology & advanced computing conferences such as: IEEE Oxford, UK, IEEE Big Data Services 2017, San Francisco USA and Future of Information and Commul£m