View source for Data-Driven Knowledge Agriculture


<b>Data-Driven Knowledge Agriculture: A Paradigm Shift for Enhancing
Farm Productivity & Global Food Security</b> 
[https://globaljournals.org/GJSFR_Volume23/3-Data-Driven-Knowledge.pdf]  


Data-driven Knowledge agriculture using mechanized intelligent computer-based
monitoring and control systems and complex Software for machine learning and visualization for
predicting a variety of parameters such as future food requirements, resource planning for higher
yield, and supply chain is the future of farming. This needs to be urgently adopted by the world
farming community to provide food to the growing world population, remove hunger, and at the
same time sustain planet resources by judicious uses of input such as water, fertilizer, pesticide
etc., as envisioned by Sustainable Development Goals 2030. This paper discusses data-driven
technology for identifying trends and other insights for making informed decisions for enhanced
productivity and profitability, through market research and evaluating customer needs and
sentiments.
[[Category:Invention]]