Agriculture and Big Data, a marriage of convenience

If there is one sector whose progress is inextricably linked to Big Data, that sector is agriculture. Amongst other things, Big Data enables forecasting of how climate cycles affect output, based on a multitude of data collected from the land. But how does Big Data technology really help to improve production and optimise resources?

Big Data technology enables forecasting of crop needs and exploration of process inefficiencies through the monitoring and analysis of data on environmental conditions, plant diseases and other factors. This data is collected by sensors installed on the property. Big Data also provides information to enable forecasting of harvests from the perspective of operations, resources and profitability. The use of these technologies enables enhanced resource usage (savings), needs forecasting (planning) and process analysis (management).

The bynse platform, developed by Spanish technology company Dinsa, records and stores all data to facilitate analysis and the development of customised farm management forecasting models. This enables managers and producers to have real time control of the current status and future needs of the farm, using any device with an internet connection. The platform centralises data and provides indicators, such as output forecasts or current requirements, automatically and continuously to aid both agricultural and business decision making processes.