With great power comes great responsibility
Use autonomous robots to handle essential agricultural tasks such as harvesting crops at a higher volume and faster pace than human laborers.
Crop and soil monitoring
Process data captured by drones and/or software-based technology to monitor crop and soil health.
Track and predict various environmental impacts on crop yield such as weather changes, estimations of precipitation and evapotranspiration.
Reduce the work of monitoring in big farms of crops, and detect the symptoms of diseases when they appear on plant leaves at a very early stage.
Enable automatic, precise, high-throughput measurements as well as an exact analysis of the traits and factors that affect them.
Grading and sorting
Provide an algorithm with a set of “good” crop and another set of crop with defects to classify (grade) additional crop based on the sample.
Yield estimation and evaluation
Computer vision techniques can be applied to crops to evaluate which are ready to harvest, allowing farmers to better plan their activities.
Track and analyze behavior patterns on the level of individual animals and determine the health of the individual, as well as the overall health of the herd.
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