- Artificial Intelligence (AI) in agriculture consists of aerial and aquatic drones, electrical, visual, olfactory and biological sensors, with all the possible information it creates analysis files of the area, according to what is needed to know.
- It combines information from genetic and geographic position systems.
The combination of AI and application in the field, causes good results to the agricultural sector, make treatments and crop production more efficient.
With the health emergency of Covid-19, the Mexican countryside has been one of the most affected sectors, in addition to having to face a significant drought, which impacted approximately 70 percent of the territory. However, lhe introduction of technology in agriculture has allowed the development of solutions that optimize their work and resources.
So far, data from the United Nations (UN) ensure that Latin America and the Caribbean contribute 14 percent of world food production and 45 percent of agri-food products.
3 benefits of using technology in agriculture
Artificial Intelligence (AI) in agriculture and its application in the fields, cause good results to the agricultural sector, make treatments and crop production more efficient. In Europe there are already several companies that carry out these applications and in Latin America, although there are many areas for agriculture, but the telecommunications operating companies, sometimes, cannot cover these areas and the internet is essential for the technological services, according to Rocío Nicol Gómez Basualdo in her report “Artificial intelligence in agriculture”.
Thanks to AI in agriculture, growers can have real-time data on what is happening on their land. From the hand of Mario Bustamante, CEO of agtech Instacrops We will know three benefits of digitizing the field.
Decisions based on real-time data: Through cutting-edge technology and AI, real-time data can be obtained to guide farmers when making decisions regarding their crops, since the solutions allow to have information on weather events, resource shortages or pest problems or crop nutrients.
Make production times efficient: through softwares friendly, such as multispectral images, you can know the optimal state of the plants, problems that produce a deficit or excess of humidity, pests, diseases, and so on. With all this information, the farmer can take advantage of his crop and streamline the entire process to harvest over time, obtaining better results.
Agriculture will be sustainable: According to Instacrops, the demand for food will continue to grow, it is predicted that in the next 30 years it will increase by 70 percent. Currently, there are sustainable models that can be completed with technologies that allow increasing the level of communication between nature and producers.
Although it is difficult to visualize the automation of such manual work as that of the field, data from the Gartner consultancy estimate that by the end of 2024, the use of technological tools will accelerate work time up to 20 times.
AI and technology are helping the industry evolve traditional processes to make them more efficient and sustainable. Under this magnifying glass, the implementation of solutions is not only about an evolutionary factor, but about facing the challenges and needs of the present.
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