4 ways big data analytics are transforming agriculture
D0740712
Connie 吳霈晴
Big
data is forming our future lives. From human basic needs-health, education,
entertainment-film industry, even to agriculture, it is going to bring
innovations. This article directly listed out 4 ways of how big data influencing
and transforming agriculture.
According
to the article, the forecasters predicted that the global agriculture analytics
market will increase to $1.236 billion in 2030, which is ten years later. The reason
is that more and more farmers will adopt “data-driven solutions” which means
like artificial intelligence and machine learning to collect useful and related
information in order to aggregate trends, evaluate risks and reward, track supplies and increase the yields.
Boosting
productivity, managing environmental challenges, cost savings& business
opportunities and better supply chain management are the 4 ways that might change
agriculture and bring profits to farmers. They regarded it as “smarter farming”. The article refers the scholars at Tufts University stated that by practicing smarter
farming could save $2.3 trillion and business opportunities annually, among
$250 billion of them could come from data analytics and artificial
intelligence.
As
far as I concerned, the external environment is the main cause that will impact
farmers' yields. With global warming, the extreme climate has been difficult
and challenging for a farmer. The weather condition stands a serious factor.
Big data could help out the problem with managing environmental challenges and
savings& business opportunities. Farmers are no longer facing loss. However,
in reality, the widespread application of this technology used in agriculture is
based on every farmer who should be affordable and well-learning.
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