Agriculture around the world has been gaining productivity thanks to technologies aimed at increasing production without expanding the land. And with the arrival of Artificial Intelligence in agriculture there is an expectation that growth will be even faster and less costly.
One of the areas that tends to benefit from Artificial Intelligence relates to the data processing capacity of the crop. Made without the help of computer systems, collecting data is time consuming and generating information about any culture takes a precious time.
Nowadays, however, through the application of Artificial Intelligence all this process can already be done instantly at an affordable value, making crop management much more precise.
Another application of Artificial Intelligence in agriculture is related to the reduction of the impact of pests and diseases, considered as one of the great problems of the field.
With a high amount of data and information obtained from sensors, the AI identifies the onset of diseases in the early stage, allowing the producer to take precautions in advance and avoid losses in the harvest.
3 applications of Artificial Intelligence
From the analysis of soil to planting to harvesting, with quick decision making in the face of problems, Artificial Intelligence is present in applications related to:
- Greater accuracy in the identification of climate phenomena influencing the crop, such as temperature, precipitation, direction and wind velocity practically in real time, which makes data analysis very rich.
- -Complete mapping of rural properties, helping to identify, for example, deforestation, overuse of pesticides and pests.
- Orientation to the producer on which agricultural input to use, at what time and in what quantity so that he can achieve maximum productivity on his farm.
Source : Agrishow 2019
