The advancement of digital agriculture allows agricultural companies to better control all the information of their processes.
There is more and more data in the world. The proliferation of the internet driven by the ubiquity of mobile devices has been a massive generator of content and connectivity.
This connectivity has enabled the development of the Internet of Things, which connects all kinds of physical devices, allowing previously unimaginable volumes of information to be collected and transmitted, revolutionising entire industries.
Agriculture is reaping the benefits of this digital revolution. The data that can be obtained in the field or through mobile sensors on tractors, drones, satellites and other tools is endless. However, data alone does not generate added value, we need to be able to analyse and interpret it to really add value and growth.
In digital agriculture, the data of the production process are all the observations or results of the measurements that the producer has from pre-sowing to post-harvest. Field data allows a great leap in productivity improvement.
Data management has been disruptive for agriculture, a big step towards improving production, as much as the tractor, no-tillage or herbicide-resistant soybeans were in their time. This data has always been generated in the field, but thanks to digitalisation, it is now possible to analyse them and understand what is happening.
A s the amount of data on a field increases, forecasting becomes more efficient. Based on a history of accumulated data, the farmer can gain clarity on the management of a crop and previous seasons, and from there, analyse all the data of a field.
With available technology and digital farming tools, it is possible to understand in detail what caused the good and bad things to happen. In the past, data were written down in notebooks or only remained in the farmer's memory. Today, digitally stored data allows for comprehensive analyses over the years.
The data stored in digital tools can be used to make accurate decisions at different stages, for example, at the harvesting stage, it is possible to quantify the total harvested, distribution by varieties, quality parameters, among others.
By making smart, data-driven decisions for your crops, you can:
Accuracy is the most powerful weapon in our decision-making, as it is based on reality and pursues success in the agricultural sector. Making data-driven decisions allows for quick and effective solutions.
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