"Agrotor" is a smart farming solution for Canadian agricultural SMEs dedicated to monitoring & analyzing crop yields and improving agriculture workflow.
The global predictions of the world’s population will be around 10 billion by the year 2050, and Canada is well situated by virtue of its huge land bank and freshwater resources to profit from growing global food demand. Canada already ranks amongst the top food producers in the world.
In factories or corporate buildings, it’s a lot easier to manage operations since everything is done within fairly small vicinity. For farmers managing extremely large sections of land, things are completely different. Keeping track of every square meter of land simply wasn’t feasible in the past. Fortunately, drones help change that. Having eyes-in-the-sky proves to be an especially powerful tool for farmers who have trouble keeping track of different metrics. The ongoing monitoring that drones bring to the table help give farmers updated information on exactly what’s happening on their land.
To address the food demands of a rising human population, drones are particularly useful for improving practices of precision farming, which has gained traction in recent years. Smart, or precision farming, uses a combination of ground and satellite applications to enable site-specific processing of images to document agricultural lands.
"Agrotor" is a web-based platform designed to provide Agricultural Enterprises with a convenient and user-friendly way to access and analyze data collected by drones to improve crop yields and efficiency. Our company offers cutting-edge drone data analytics and flexible reports for optimizing crop production based on machine-learning algorithms that identify patterns and trends in the data.
Our main advantage is a comprehensive smart farming solution that provides accurate and detailed maps of fields and crops, allowing farmers to make more informed decisions about resource allocation & pest management, adopt more sustainable farming practices and improve other tasks' performance.