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Due to the development of the latest sensor technologies in the field of agriculture it is possible to monitor crops, and make possible what we know today as precision agriculture. These sensors produce a large amount of crop data that optimizes the performance of the land and the resources used. Data analysis techniques based on computational learning are used to extract knowledge of the big data of agriculture. Devices such as autonomous land drones and agents help in the inspection and precision performance in square meters of the agricultural plantation.

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