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More sustainable with sensor technology

With RMA's sensor technology, we not only ensure high yields and low costs, but we are also working on sustainable and future-oriented agriculture.

RMA Hydromet kicks off on February 1

RMA Hydromet will kick off on 1 February 2021 and our team will be extended with Rob ter Brake, a knowledgeable water professional with over 30 years of experience.

RMA selected for pilot of the Water Hub

RMA is selected for a pilot of the Water Hub Accelerator Programme South Africa. The Water Hub aims to support and advance water technologies in South Africa. 

RMA launches the new RhizaConnect app

RMA takes a new step in the visualization of RMA's solutions with the RhizaConnect App. With this app it is possible to quickly provide insight into the data and advices of RMA.

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Growing season 2020 is nearing the end

Now that the crops are waiting for harvest under the autumn skies, it’s time to remove the measuring stations from the field again and store them for the next season.

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Food chain project Uireka tests disease model RMA

Head rot in onions is a persistent problem. The food chain project Uireka in the Netherlands conducts research into, among other things, the control of top rot in the cultivation of seed onions.

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Measuring soil moisture in the park and garden sector

RMA measures soil moisture in the park and garden sector. Similar to agricultural crops, sufficient availability of water is also of great importance for trees to survive.

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Start demonstration project to improve irrigation in Poland

The Dutch companies RMA, Loonstra & van der Weide, Irriwatch and the Polish farm Cena are starting a cooperation project in Poland to improve irrigation efficiency.

From flooded fields to agricultural drought

From floods to drought in a very short time: many farmers have already starting irrigating again. But what is the best timing and how much water should be applied?

Project "Rhythm of the Rain" receives subsidy

The 'Rhythm of the Rain' project receives a subsidy for the development of a system with local storage capacity, smart monitoring and predictive models.