This is how technology affects the agricultural sector and the environment

Currently, environmental experts point out that use of technology in agriculture contributes to the improvement of environmental protection rates. Well, it is known that agribusiness is going through a process of transformation and producers who adopt technologies will have advantages in the market.

In this sense, technology has proven to be a great ally for the sector, enabling not only an increase in productivity. But to improve efficiency, among other benefits.

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Four aspects of technology affecting agriculture

According to crop irrigation monitoring, Rodrigo Tissera, co-founder of Kilimo agtech shares four technological trends affecting agriculture and the environment.

1. Tools for extracting available information

Big data is a system for storing and analyzing a large amount of data. In agriculture, it gains an advantage thanks to the process of analysis and interpretation of the data obtained during the harvest. In addition, it creates knowledge that contributes to the daily work of farmers.

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2. Remote monitoring

Rural areas have a big challenge in achieving connectivity. However, agtech managed to overcome this obstacle. For example, it is normal to find applications that allow remote control of the processes involved in the cultivation period, which can be managed from a mobile device without the need to connect to the Internet.

3. Satellite images for key moments

The use of satellite images makes it possible to obtain information about physical phenomena that occur on the Earth’s surface and that directly affect production. The transformation of satellite images into certain indices facilitates the work of experts in decision-making.

For example, NDVI is one of the most commonly used indices to determine KC (crop coefficients) values ​​adapted to each irrigation sector. And thus more effectively assess the crop’s water needs.

4. More frequent use of artificial intelligence

Development Technological tools which enable crop management. This improves some aspects of management, such as predicting weather conditions that affect harvest success.

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