Big data analytics in agriculture and distribution channel

In agriculture depends on multiple aspects most important is weather, if weather is positive for farmer in spite of farmer not get that much profit. When weather is and rain come late or less farming decrees directly I ratio but when farmer produce more crops then our market and storage is not prepare for holding that due to this farmer force to sell his production in minimum rate and face loss in farming. In this paper I discuses about problem in distribution channel and storage of food product, and precession farming decision making. That gives real time analyzer report about weather, soil, and current status of market and storage capacity and real time demand of market. I use big data analysis with hadoop framework that is widely used for big data analysis this is very fast and reliable. And for reporting and decision making I use pentaho BI that allow to generate interactive report and highly customize dashboard that help front end to easy understand and make decision.