New technologies are innovating more and more commercial sectors and market segments, bringing innovative solutions to everyday operational problems and situations. The development of modern companies is being leveraged by process automation and all the benefits that technological advances have to provide.

Within this concept, we can say that Cloud Computing, one of the rising trends in several markets, is revolutionizing the most varied business niches. It would not be different with the agribusiness sector. Able to increase productivity through analytical tools and manage numerous processes simultaneously, the Cloud only has to add in this environment. Continue reading the content to understand how innovation and technology can add value to agribusiness with the use of Cloud Computing.

How can agribusiness benefit from the use of Cloud Computing?

Among the numerous applications and tools that Cloud Computing has to offer, Big Data is standing out in the middle of agribusiness. More and more companies are taking on the challenge of obtaining, managing and interpreting large volumes of data, to make everyday work in the field more profitable and competitive.

Therefore, it is not uncommon for the presence of task automation technologies, storage and data management through the cloud to become increasingly common in the sector.

What is Big Data?

The concept of Big Data basically consists of a technique for collecting and analyzing an exponential amount of structured and unstructured information, from external and internal sources, looking for patterns and correlations in order to obtain relevant data for the business. Such data must add value to the business, whether in the improvement of a process, or in the development of a product or service.

In addition to the aforementioned technique, Big Data is also related to the use of analytical tools that corporations use to obtain, process and present data.

How can Big Data benefit agribusiness?

Increases crop productivity

Through the analysis of detailed statistical data on the soil, it is possible to define, meter by meter, the ideal spacing between seeds, as well as the depth at which they should be buried. To give you an idea, the giant Monsanto invested around BRL 1.2 billion in equipment and software for climate analysis to increase productivity.

A type of scanner was developed that is able to better analyze the leaves of plantations, for example, and indicate when farming the level of development of the crop, based on data from the soil and the quality of the leaves, in addition to showing which types of nutrients are missing.

This practice allows the agricultural manager to correct problems in an assertive way, because it allows the correct fertilizer to be applied, discarding unnecessary expenses with inefficient products, as well as the waste of planting due to deficiency in the development of the crop.

Automating information analysis and reducing costs

With unmanned aerial vehicles (UAV), also known as drones, it is possible to collect images and information from the entire extension of the soil, allowing the farmer to know which areas need irrigation, fertilization or if he can already harvest. Several companies in the fertilizer and chemical industry are using data analysis to automate processes and generate savings.

The companies combine software with the use of autonomous machines, so that soil analysis is automated and information about relief, soil nutrition, among others, is collected efficiently and quickly. Considering that the characteristics vary from one meter to another, the applied concept can identify the needs of each area, minimizing fertilizer expenses.

Optimization of decision-making in the field

When we mention technology and innovation in agribusiness, several trends can be mentioned, such as biotechnology, transgenic seeds, drones, ultra-advanced tractors, chemical products, among many other resources that make work automated and assertive.

However, analyzing data through analytical tools has provided invaluable benefits to the agricultural sector. Among these benefits, we can mention the main one as the automation of tasks and optimization of processes. For example, data analysis can indicate which type of seed is ideal to be planted at a given time, in addition to the amount of fertilizer and water required for its development.

In addition, the existing analytical tools thanks to one of the branches of Cloud Computing, Big Data, allow companies to analyze climate and soil factors, being able to compare the data with the history of recent years. In this way, it is possible to determine the best place to carry out the planting, extract information about the properties of the soil and determine how profitable and productive the undertaking can be.

In other words, Cloud Computing can make agribusiness decision-making much more efficient and profitable, making work in the field highly competitive and innovative.

Is that you? Do you still have any questions about how Cloud Computing can transform and innovate agribusiness? Do you have any experience or opinion on the subject that you would like to share? Leave your comment!

photo credit: CIMMYT Thermal image of the CIMMYT-Obregón station via photopin (license)

Written by

Sky.One Team

This content was produced by SkyOne's team of cloud and digital transformation experts.