Project Mapsens® Agro | Inventory and health analysis of oil palm in Colombia
Inventory and classification by health of an oil palm plantation in San Carlos de Guaroa, Colombia, using drones and artificial intelligence. […]
Inventory and classification by health of an oil palm plantation in San Carlos de Guaroa, Colombia, using drones and artificial intelligence. […]
At Mapsens® we gather and analyze data from different sources (drones, weather stations, satellite...) to obtain useful information, in order to offer a comprehensive crop monitoring to our customers. Although this information in itself is valuable, having access to real-time ground measurements opens up a range of interesting possibilities, especially to create early warnings or to get [...]
The development of artificial intelligence in recent years, together with the increase in computing power and the immense amount of information available, has led to truly amazing achievements in fields such as language recognition and computer vision. One of the keys to these successes has been the techniques of the so-called deep learning. These techniques are included [...]
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In this post we show you the benefits of the Chlorophyll Index for crop monitoring. We use this type of indexes within Mapsens® Agro to respond to the specific needs of our customers. We include an example of a real calculation of an intensive olive crop in Argentina. […]
At Mapsens® Solar we work on optimizing the processing of thermal data and its subsequent analysis for the supervision of solar power plants. In this example, we show you some data from a solar power plant obtained with a eBee Plus with thermoMap thermal camera and S.O.D.A. RGB camera. In the example we show you an interactive [...]
Massive and geolocalized inventory of 800 ha/year tropical pineapple plantations in Costa Rica with drone imagery and artificial intelligence algorithms of Mapsens® Agro. […]
Farm monitoring of 2,000 ha of intensive olive groves in Argentina using satellite images with Mapsens Agro. […]