19 Jan Agrodigital: learn how to increase efficiency in the management of plant and animal production
The management and monitoring of plant and animal production is one of the challenges of Agrodigital and a need for producers in Brazil, according to a study by Embrapa (Empresa Brasileira de Pesquisa Agropecuária).
Researches with farmers from Brazil show that there will be an increase in the use of applications related to the most complex technologies and on production management and monitoring as shown below:
Source: https://www.embrapa.br/visao-de-futuro/agrodigital/avancos-no-uso-das-tecnologias-no-processo-de-transformacao-digital-no-meio-rural
The increase in production management efficiency, through technology, may bring greater predictability to crops, anticipate problems, increase productivity and reduce costs and waste. Let's talk a little bit about how this digital transformation been happening in Agro?
Mobility and Connectivity
Mobile applications are essential for digitizing the Agro. An application for crop management with geolocation, for example, could automatically identify the plot that the operator is monitoring so that he can then analyze and save this information in the application. This data feeds, in real time, data science algorithms and dashboards to help detect and control diseases and pests, water deficits, etc.
But Brazil is a continental country and, despite recent advances in 3G, 4G and 5G, many areas do not have internet. Therefore, it is imperative that these applications have the ability to operate offline and with automatic synchronization so that the lack of connectivity does not impact production monitoring.
You can see a prototype of this application below:
the platform Oracle Visual Builder enables us to develop mobile applications with all these capabilities and more. We can develop custom applications for your business problem.
Artificial intelligence
What if this field management application could automatically detect pests and diseases? This evolution would be possible through Computer Vision Artificial Intelligence to classify images and identify fungi and pests from photos of the leaves. Knowing that the plant is not healthy, indicate the most appropriate defensive.
With AI, we can reduce errors in pest and disease detection, increasing field productivity. In addition, the application operator does not need to have technical knowledge, just take a picture of the leaves in the field.
Use AI to automate analytics like the one below:
Some other analyzes could also be done through aerial photos, taken by drones. With an object detection algorithm, we can identify the cotton rolls formed by the harvesters, which need to be collected from the fields.
These are just a few use cases of AI applied to Agribusiness. If you want to increase the efficiency of your production management, contact us to develop the ideal solution for you, with the service of Oracle's AI OCI Vision.
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