The age of smart agriculture is here
Artificial intelligence, sensors, location systems, smart devices, earth observation
and Internet of Things are the key elements of the new era

The key to feeding the ever-expanding global population with the decreasing freshwater supply
Technological innovations have greatly shaped agriculture throughout time. From the creation of the plow to the global positioning system (GPS) driven precision farming equipment, humans have developed new ways to make farming more efficient and grow more food.
Digitalization will change every part of the agrifood chain and AgriStats will be part of it by combining innovation with tradition, implementing deep technology and building virtual communities.
Traditional agriculture is tackling major issues which technology can resolve efficiently.
Smart farming employs hardware (IoT) and software (SaaS) to capture the data acquired through various sources (historical, geographical and instrumental) in the management of farm activities and make sense out of it.
We work on smart agriculture through the following fields.
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Earth observations (EO) data are key inputs into the kinds of analyses and decisionmaking processes that are critical to promoting smart agriculture.
Satellite-based localization solutions have become quite mature and the GNSS receivers have found numerous applications in agriculture.
The ability to gain insights from data, create algorithms and invent new technologies lies on the combination of shared information, smart technology and ambitious innovation.
The most popular applications of Artificial Intelligence in agriculture are robots, predictive analytics, crop/soil monitoring, computer vision & deep-learning algorithms.
Internet of Things in agriculture involves sensors, drones and robots connected through internet which function automatically and semi automatically performing operations and gathering data aimed at increasing efficiency and predictability.
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