Livestock surveying

The task of headcounting has applications in precision livestock farming for the automatic generation of inventories, providing crucial information to determine the animal load of batches and thus have control over stock and avoid overgrazing. Consequently, a tool that allows for precise and optimized headcounting system is essential to obtain a more accurate count of livestock than mere visual inspection, and then proceed with the mentioned studies. This would result in increased efficiency and improved profitability and productivity of related activities.

A computer vision-based system applied to the livestock sector automates the tasks of detection and counting of target populations by processing images and videos acquired with drones.


Crop and tree plant analysis

Current counting systems in precision agriculture are generally manual, expensive, and based on statistical sampling. Consequently, tools that allow for precise counting systems through image processing are crucial for assessing the quantity of plants in early stages, automating processes, and objectively evaluating the crop’s evolution over time. This leads to increased efficiency and improved profitability by optimizing the timing and results of analyses for all related activities.

A software system for counting using computer vision applied to the agricultural and forestry sectors, automating the tasks of detection and counting of populations of interest based on processing images and videos acquired with drones and/or mobile devices.


Precision agriculture

Zone delineation is used in precision agriculture to recognize and differentiate areas of differential productivity, with the goal of optimizing crop management practices. Discriminating these environments can be based on various sources of information and numerous methodological alternatives. However, users are required to have advanced knowledge and training in the use of specific software for geographic information systems, statistics, etc. There are tools that partially solve the procedures, but they still require further processing for optimizing the delineated zones, limiting their adoption.

A system that enables the integration of different input data, performs data fusion with projections in a common coordinate system, automatically divides and classifies management zones, and facilitates the creation of variable rate prescriptions for the zones.