Agriculture has long been the backbone of a healthy civilization and with the capabilities technology currently offers, it would be irresponsible to not embrace an opportunity to unite both and maximize our efforts towards the improvement of sustainable farming.
One way to achieve innovative solutions is through the collection and evaluation of big data.
By harvesting the information collected by big data and parsing it into a functional, valuable format for examination, we can establish the groundwork for predicting future trends to benefit crop yield. With processed data, specific variables can be set to generate statistical models and research solutions for more complex inquiries through comprehensive, user-friendly results.
Consolidating information into measurable analytics, big data enables us to see the big picture.
Why Should Big Data Be Used in Farming?
Like any other business model, there’s a bottom line to farming, making it necessary to cut costs in order to drive profits. However, due to the sheer volume of variables farming would need to account for, it’s tough to calculate a precise bottom line, which is where big data provides vital assistance.
The integration of big data makes cost estimations more feasible, enabling farmers to analyze their operations and determine how processes can become more productive …