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Belgian SME Ovinto, which specialises in the satellite-based remote monitoring of rail cars and intermodal tank containers, has obtained an investment of €1 million from a private investor. The new funding will enable Ovinto to further develop the machine learning capabilities of its data analysis platform.
According to FAO by 2050 the world’s population will reach 9.1 billion and in order to feed this larger population, food production must increase by 70%. Annual cereal production will need to rise to about 3 billion tonnes from 2.1 billion today and annual meat production will need to rise by over 200 million tonnes to reach 470 million tonnes [source].
The development of capabilities in order to counteract CBRNe (Chemical, Biological, Radiological, Nuclear and explosive) threats is one of the priorities area in the field of security and emergency response. A lot has been done in this context but several gaps are still present when it comes to prevention, preparedness, response and recovery from both accidental and intentional CBRNe events.
