In the name of Allah the Merciful

Artificial Intelligence and Advanced Analytics for Food Security

Chandrasekar Vuppalapati, 1032346183, 9781032346182, 978-1-032-34618-2, 978-1032346182, 978-1-032-34619-9, 978-1032346199, 9781032346199, 978-1-003-32309-9, 9781003323099, 978-1003323099

10 $

English | 2023 | PDF | 84 MB | 548 Pages

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Climate change, increasing population,  food-versus-fuel economics, pandemics, etc. pose a threat to food  security to unprecedented levels. It has fallen upon the practitioners  of agriculture and technologists of the world to innovate and become  more productive to address the multi-pronged food security challenges.  Agricultural innovation is key to managing food security concerns. The  infusion of data science, artificial intelligence (AI), advanced  analytics, satellites data, geospatial data, climatology, sensor  technologies, and climate modeling with traditional agricultural  practices such as soil engineering, fertilizers use, and agronomy are  some of the best ways to achieve this. Data science helps farmers to  unravel patterns in fertilizer pricing, equipment usage, transportation  and storage costs, yield per hectare, and weather trends to better plan  and spend resources. AI enables farmers to learn from fellow farmers to  apply best techniques that are transferred learning from AI to improve  agricultural productivity and to achieve financial sustainability.  Sensor technologies play an important role in getting real-time farm  field data and provide feedback loops to improve overall agricultural  practices and can yield huge productivity gains. Advanced Analytics  modeling is essential software technique that codifies farmers’ tacit  knowledge such as better seed per soil, better feed for dairy cattle  breed, or production practices to match weather pattern that was  acquired over years of their hard work to share with worldwide farmers  to improve overall production efficiencies, the best antidote to food  security issue. In addition to the paradigm shift, economic  sustainability of small farms is a major enabler of food security.

The  book reviews all these technological advances and proposes  macroeconomic pricing models that data mines macroeconomic signals and  the influence of global economic trends on small farm sustainability to  provide actionable insights to farmers to avert any financial disasters  due to recurrent economic crises.