The digital transformation is here to stay and the companies that adopt it are not thinking precisely about the present, but about the future.
This unprecedented transformation involves the agricultural industry, which must evolve by applying digital capabilities to its processes and products to face market competitiveness.
Although agricultural companies initially adopted digital tools in order to get ahead of their competitors, these technologies are currently necessary to prevent obsolescence and optimize processes, creating more profitable methods.
The agriculture revolution
Since much of the 20th century, technology has played an essential role in the evolution of agriculture and, from the present time, advances in the industry show that only through innovation is it possible to achieve the most complex objectives. , What:
- Meet the high population demand.
- Generate a competitive profit margin.
- Reduce the environmental impact of harvesting and gathering activities.
Digital agriculture arose as a way to take advantage of the data and information collected in the harvests to accelerate productivity, in addition to optimizing the services and products delivered to consumers.
These innovations come to face the usual way that agriculture uses technologies, which normally focuses on the types of harvesting, planning or planting.
Digitization: The next step for the industry
Through the different data monitoring techniques and metric analysis, digital agriculture makes it possible to generate very precise reports, allowing agronomists to understand the conditions of the plantations and develop strategies that are adapted to the multiple variables that must be managed in the field. daily work.
Whether in traditional orchards or large farms, adopting digitalization methodologies represents an acceleration that is driving this sector to new levels.
What this sector is not understanding is that the next step is already here, and it is about combining Artificial Intelligence with industry processes, seeking to leave behind the uncertainty with which planting is currently planned. In addition, the application of AI in agriculture achieves something that seemed unthinkable until a few years ago: Delivering precise and easy data on the results that a harvest will have, making the job much simpler, whether it be in harvesting, administration, mobilization or sale. of the products.
In the end, technology transforms the traditional manual methods through comprehensive solutions that meet the technical requirements of the industry and that, in turn, innovate all agricultural processes, finding in the crops the necessary information to make the most important decisions. smart.