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How big data can boost agricultural growth


In agriculture, #big_data is often viewed as a combination of technology and analytics that can collect and compile novel data and process it in a more useful and timely way to assist decision making.

#Data_mining is the computing process of discovering patterns in large data sets involving methods at the intersection of #artificial_intelligence, #machine_learning statistics and database system.

Precision agriculture’s main objective is to ensure profitability, efficiency, and sustainability using the #big_data gathered to guide both immediate and future decision-making. This could cover everything — from when it is best to apply fertilizers, chemical and seeds, to from where in the field it is best to apply a rate.

According to agriculture funders, the big data practice comprises capturing relevant data from a huge number of sources, collecting it today and translating it into actionable information to improve business processes and solve problems at scale and speed.

Role of data analysis in agriculture

Application of science and new technologies is currently lacking within this space. Many companies and start-ups are looking to fill this information gap. If Big Data has made serious advancement in fields like information technology, healthcare, education and even sports, there is an obvious need for it in the agricultural industry too.

While the vast majority of farmers and ranchers did great work for maintaining and increasing soil health using conservation practices alone, measurement tools will be instrumental in ensuring a sustainable farming future.

To maintain yields and meet the food demands of a growing population while also protecting natural resources required, making additional changes and data tools can help determine what these changes should be.

The end result of gathering data is to analyse it and come up with actionable solutions with better results. For example, a satellite image of a plot of land has several layers of data embedded into a single spectrum giving us a tonne of information to analyse. The geospatial approach and satellite monitoring of farms have led to major advancement in how farmers and companies make their decisions.

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